Dating a Robot is like Dating a Man - A new perspective on the Turing Test - presentation Etmaal'13, Rotterdam, Februari 7-8
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Increasingly, humans communicate through technological devices, such as mobile phones and tablet PC’s. Insights from interpersonal communication are important for developing communication technologies. Certain communication technologies use these insights to mimic elements of human interpersonal communication, or even completely replace the human partner in conversational exchanges. With these developments, computer-mediated communication (CMC) is moving toward human-computer interaction (HCI). At the same time, with increasing knowledge about interpersonal communication and technological advances, HCI is becoming more social and moving toward CMC. Individuals respond socially toward computers. Humans, even experienced computer users, are inclined to treat their computers as largely natural and social and they tend to interact with their computers in affective ways. Nowadays, embodied computers are designed as socially interactive robots. They are not only technological supplementary tools for labor-intensive or hazardous tasks anymore, but gradually become part of our daily lives, fulfilling roles as, for example, pets, nurses, office assistants, tour guides, teachers, and even emotional companions (e.g., Sony’s AIBO robot dog, or MIT’s Kismet). A salient aspect of humanness in robots is the expression of emotions. However, compared to human affective complexity, affective communication of contemporary software agents and robots is still quite simple. The original Turing-Test is text-based but we enriched the communication by applying a virtual human in graphical format, called Tom, capable of speech and facial expressions. Because in mediated interpersonal communication emotions play a salient role, Tom’s communications were affect-laden. Our Turing test took the form of a speed-dating session in which we tested the performance of our Silicon Coppélia software. Female participants were randomly assigned to the virtual human Tom, who was either controlled by our software (HCI) or by a human confederate (CMC). In either case, participants were told that they interacted with a robot to see whether human performance could outdo that idea. Tom could give verbal as well as nonverbal cues. Results obtained with Bayesian structural equation modeling revealed that, even in an enriched version of the classic Turing-Test, participants did not detect differences between the two versions of Tom, which is a nice tribute to the Turing Centenary of this year. Participants did not recognize significant differences in the cognitive-affective structure underlying the emotional behavior produced by our Silicon Coppélia software and that produced by human confederates. We can conclude, as far as the testing capabilities of this experiment go, that we created a humanoid simulation of affect so natural that young women could not discern dating a robot from dating a man.
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2. Vrij delen van informatie, kunst en cultuur Evidence-based policy met een lange-termijn visie Zelfbeschikking stimuleren zonder dat dit ten koste gaat van rechten Vertrouwen burgers vs Wantrouwen ‘macht' Enthousiast over tech, maar alert op risico’s Tech to empower people; niet om te onderdrukken Basis principes PPNL Matthijs Pontier, Ph.D., Privacy symposium Usocia, Universiteit Utrecht 06-05-2021
3. Matthijs Pontier, Ph.D., Privacy symposium Usocia, Universiteit Utrecht 06-05-2021
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9. Matthijs Pontier, Ph.D., Privacy symposium Usocia, Universiteit Utrecht 06-05-2021
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11. 15-12-16 SyRI in Rotterdam 25.000 bewoners Bloemhof en Hillesluis op fraude onderzocht • 50% Foutmarge • 10% werd onderzocht • 0(!!) fraudegevallen opgespoord Na ophef gestopt met experiment Matthijs Pontier, Ph.D., Privacy symposium Usocia, Universiteit Utrecht 06-05-2021
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My book "Testing in the digital age; AI makes the difference" was an important source and also a prize in the quizzes.
Quantified self
The document discusses various topics related to the quantified self movement including tracking health metrics, productivity, education, and social interactions. It provides examples of applications that track data from mobile devices, sensors, and other sources to generate insights. These applications aim to improve domains like health and wellness, personal productivity, education, and social relationships. Technologies like big data, cloud computing, open data, sensors, and data visualization play important roles in enabling self-tracking and quantified self applications. The document also presents several case studies as examples.
Scope of Information Technology
I was invited as speaker to share my views on Scope of IT. These slides contains some points I shared with audience (mostly students).
Kaggle competitions, new friends, new skills and new opportunities
1) Participating in Kaggle competitions and MOOCs helped the speaker gain new data science skills in R, Python, and machine learning techniques.
2) This led to new opportunities like collaborating with other data scientists, presenting at meetups, and eventually getting jobs at data science companies like Domino Data Lab and H2O.ai.
3) The speaker's networking and side projects through Kaggle also allowed them to learn non-technical skills and expand their professional network, which further supported their career transition to data science.
The Crowded Boardroom WSSF 2013
These are the slides that accompanied my panel talk at the World Social Science Forum in Montreal, October 2013.
Introduction to IoT lab Berlin
Introductory presentation for the two day IoT lab at hubraum in Berlin, sponsored by Intel, organised by WebVisions and delivered by Claro Partners.
IoT Labs bring together designers, developers, makers and strategists to learn, create and prototype people centred offerings in the Internet of Things . In only two days teams go from exploring the IoT to prototyping and pitching new IoT business ideas using Claro's tools like the IoT landscape, IoT canvas and need frameworks.
Mauritius Big Data and Machine Learning JEDI workshop
Introductory slides for the JEDI Mauritius workshop in Big Data and Machine Learning by Prof. Bruce Bassett
New technologies in the sharing economy
The document discusses new technologies in the sharing economy and how they are changing society. Some key points:
- Technologies like smartphones now incorporate features that used to require separate devices. New platforms have also emerged for sharing rides, spaces, and other services via companies like Uber, Airbnb, and Bitcoin.
- Emerging decentralized autonomous organizations and blockchain technologies may further disrupt economic systems by enabling new modes of organizing without traditional hierarchical structures.
- Society is shifting from ego-based systems to collaborative "ECO" systems where access is prioritized over individual ownership and crowdsourcing is more powerful than traditional organizations.
- The sharing economy enables sharing innovations and open technologies to provide access for all through play,
The Quantified self
The document discusses how enterprise technologies can improve apprenticeships. It outlines an agenda covering chat, the new world of work, productivity today, digital workspaces, building blocks, value propositions, market metaphors, and the value architect. It then discusses using inputs, states, performance, and self-knowledge to improve apprenticeships through enterprise technologies. The document advocates that technology can provide continuous productivity improvements for apprenticeships.
Building a Culture Supporting Accessibility from Within Your Organization
Our presentation at CSUN Internation Techonoly and People with Disabilities Conference. It describes how a group of designers and devopers made accessibility a part of the organization culture at FINN.no .
A Happy Marriage between Context-Driven and Agile
The document discusses how to achieve a happy marriage between context-driven and agile approaches to software development and testing. It advocates for involving testers from the start of projects and having them work closely with developers as part of integrated teams. The document also provides advice on skills needed for testers, such as domain knowledge and a willingness to learn, and emphasizes pairing with other roles like developers to facilitate collaboration and knowledge sharing.
M115 intro2013
This document outlines the agenda for a course on customer relationship management and social CRM. The course will be taught by L. SCHLENKER over 5 sessions from May 15th to June 17th. It will cover topics such as social CRM, social network analysis, and case studies. Students will be evaluated based on their online and in-class participation, as well as a group video case study project on how social CRM impacts business practices.
Similar to Dating a Robot is like Dating a Man - A new perspective on the Turing Test - presentation Etmaal'13, Rotterdam, Februari 7-8 (20)
Soccnx10 Man versus Machine – A Story About Embracing Innovation
Soccnx10 Man versus Machine – A Story About Embracing Innovation
Workshop guerrilla testing methods @ ux bristol 2011 by valsplat
Workshop guerrilla testing methods @ ux bristol 2011 by valsplat
The Next Generation of Online Social Media Applications in Education
The Next Generation of Online Social Media Applications in Education
EuroSTAR 2018 tutorial Rik Marselis Testing Intelligent Machines
EuroSTAR 2018 tutorial Rik Marselis Testing Intelligent Machines
Kaggle competitions, new friends, new skills and new opportunities
Kaggle competitions, new friends, new skills and new opportunities
Mauritius Big Data and Machine Learning JEDI workshop
Mauritius Big Data and Machine Learning JEDI workshop
Building a Culture Supporting Accessibility from Within Your Organization
Building a Culture Supporting Accessibility from Within Your Organization
More from Matthijs Pontier
Hoe overheden en bedrijven je bespieden om je gedrag te manipuleren | Privacy...
Hoe overheden en bedrijven je bespieden om je gedrag te manipuleren | Privacy symposium Usocia | Universiteit Utrecht | 2021-05-06
2. Vrij delen van informatie, kunst en cultuur Evidence-based policy met een lange-termijn visie Zelfbeschikking stimuleren zonder dat dit ten koste gaat van rechten Vertrouwen burgers vs Wantrouwen ‘macht' Enthousiast over tech, maar alert op risico’s Tech to empower people; niet om te onderdrukken Basis principes PPNL Matthijs Pontier, Ph.D., Privacy symposium Usocia, Universiteit Utrecht 06-05-2021
3. Matthijs Pontier, Ph.D., Privacy symposium Usocia, Universiteit Utrecht 06-05-2021
4. Amsterdam wil data verzamelen en delen, om: – Maatschappelijke vraagstukken oplossen – Dienstverlening verbeteren – Slimmer handhaven – Openbare ruimte beheren – Werkprocessen efficiënter – Zorg verbeteren – Patronen herkennen om gedrag te beïnvloeden “Amsterdam doet daarbij graag zaken met de markt”
5. Verkapte privatisering publieke diensten? Wie beheert AI in ‘slimme’ stad? Wie beheert de data die we samen produceren? Wie profiteert van de voordelen? Wie kampt met de nadelen?
6. Google ontwierp privacy policies voor buurten: - Mensen zouden getarget worden met producten - Zelfs getarget worden om stemgedrag te beïnvloeden Privacy adviseur Ann Cavoukian nam ontslag: "I imagined us creating a smart city of privacy, as opposed to a smart city of surveillance" Toronto: "The evaluation process will determine which parts of the proposal, if any, may be pursued further." Google Sidewalks Toronto Matthijs Pontier, Ph.D., Privacy symposium Usocia, Universiteit Utrecht 06-05-2021
7. Privacy in ‘smart’ cities https://piratenpar tij.nl/zorgen-om- de-privacy-in-sli mme-steden/
8. Niets te verbergen? Functie in sociale relaties Mogen anderen ook niks te verbergen hebben? Snowden: “I don't care about privacy, 'because I have nothing to hide', is like I don't care about free speech, Because I have nothing to say" Matthijs Pontier, Ph.D., Privacy symposium Usocia, Universiteit Utrecht 06-05-2021
9. Matthijs Pontier, Ph.D., Privacy symposium Usocia, Universiteit Utrecht 06-05-2021
10. 15-12-16 SyRI https://www.youtube.com/watch?v=2GkXCzYdrBY • Allerlei data die je met overheid deelt wordt aan elkaar geknoopt. • Iedereen is bij voorbaat verdacht → bestempeld met risicoprofiel. • Op basis hiervan wordt je extra in de gaten gehouden, zonder dat je dit weet. • https://bijvoorbaatverdacht.nl/ Matthijs Pontier, Ph.D., Privacy symposium Usocia, Universiteit Utrecht 06-05-2021
11. 15-12-16 SyRI in Rotterdam 25.000 bewoners Bloemhof en Hillesluis op fraude onderzocht • 50% Foutmarge • 10% werd onderzocht • 0(!!) fraudegevallen opgespoord Na ophef gestopt met experiment Matthijs Pontier, Ph.D., Privacy symposium Usocia, Universiteit Utrecht 06-05-2021
12. https://nos.nl/artikel/2366864-fraud e-opsporen-of-gevaar-van-discrimin atie-gemeenten-gebruiken-slimme- algoritmes Toeslagenschandaal Toeslagenaffaire
Piratenpartij presentatie programma en kandidaten Tweede kamerverkiezingen 2021
PirtatenpartijTK2021
1. Visie met lef
2. ● In meer dan 60 landen actief ● Honderden zetels op verschillende niveaus ● Belangrijkste oppositiepartij in Tsjechië, IJsland ● Eerste pan-Europese partij ● Verviervoudigd in EU sinds 2014 Internationale beweging Matthijs Pontier, Ph.D., Presentatie Piratenpartij Tweede Kamerverkiezingen 2021. #StemPiraat #TK2021
3. ● Vertrouwen op mensen vs wantrouwen macht ● Enthousiast over tech, maar alert op risico’s ● Tech om te empoweren; niet om te onderdrukken ● Vrij delen van informatie, kennis en cultuur ● Evidence-based beleid met lef en lange-termijn visie Matthijs Pontier, Ph.D., Presentatie Piratenpartij Tweede Kamerverkiezingen 2021. #StemPiraat #TK2021 Basisprincipes
4. Empowerment / Decentralisatie van macht • Burgerrechten • Democratie • Transparantie • Vrijheid van informatie Kernpunten Matthijs Pontier, Ph.D., Presentatie Piratenpartij Tweede Kamerverkiezingen 2021. #StemPiraat #TK2021
5. Burgerrechten zijn grondvesten van onze beweging. Privacy, Zelfbeschikking, Vrije meningsuiting, Internettoegang, Gelijkwaardige behandeling • Stop microtargeting • Delete Big Brother: Sleepnet uit sleepwet • Transparantie en audits voor algoritmes • Tanden voor de toezichthouder: Versterk AP Burgerrechten Matthijs Pontier, Ph.D., Presentatie Piratenpartij Tweede Kamerverkiezingen 2021. #StemPiraat #TK2021
6. Open, transparante overheid is basisvoorwaarde voor een goede democratie • Stop de Rutte-doctrine! Streaming besprekingen • Transparantie kasboek, lobby, belastingafspraken • Ook bij semi-overheid en adviesorganen • Vrije, onafhankelijke media • Bescherming klokkenluiders Transparantie Matthijs Pontier, Ph.D., Presentatie Piratenpartij Tweede Kamerverkiezingen 2021. #StemPiraat #TK2021
7. Vrijheid van informatie Vrije toegang tot info, kennis en cultuur is een voorwaarde voor sociale, technologische en economische ontwikkeling. Auteursrecht en patentrecht creëren informatie monopolies die alleen grote bedrijven ten goede komen. Stel het in dienst van auteurs! Innovatie bevorderen: als je iets kopieert, verdubbel je waarde! Zo medicijnen en behandelmethoden direct wereldwijd verspreid Als doel monopolie geld verdienen is, beloon dan met geld Investeer in kennis, in plaats van het hek om de kennis Matthijs Pontier, Ph.D., Presentatie Piratenpartij Tweede Kamerverkiezingen 2021. #StemPiraat #TK2021
8. Democratie Niet eens in de vier jaar, maar het hele jaar door meebeslissen • bindend (p)referendum en volksinitiatief, zonder opkomstdrempels • e-democracy (zoals ons initiatief in Amsterdam) • burgerforum / burgerberaad / burgertop • eerlijke behandeling voor lokale politieke partijen • wetten toetsen aan de Grondwet • apolitieke benoemingen (semi-)overheid: stop de vriendjespolitiek Meer dan stemmen alleen. Democratie gaat over verhoudingen in samenleving Recht doen aan wat de meerderheid wil en rekening houden met de minderheid Daarom is combinatie met burgerrechten en stevige rechtsstaat zo belangrijk
Ai shifting powers 2020 01-09
The document discusses how AI will shift the distribution of power in society. It notes that large tech companies like Google are trying to privatize public services through smart city projects, which raises issues around transparency, data ownership, and who benefits. The use of personal data for targeted advertising and influencing elections is also discussed. Overall, the document argues that AI and new technologies could exacerbate existing inequalities and concentrations of power if issues around data ownership, privacy, transparency and the potential for discrimination are not adequately addressed.
Wie wordt de baas over onze big data? | 2019 10-29 HvA
Wie wordt de baas over onze big data? | 2019 10-29 HvA
Vrij delen van informatie, kunst en cultuur Evidence-based policy met een lange-termijn visie Zelfbeschikking stimuleren zonder dat dit ten koste gaat van rechten Vertrouwen burgers vs Wantrouwen ‘macht' Enthousiast over tech, maar alert op risico’s Tech to empower people; niet om te onderdrukken Basis principes PPNL Matthijs Pontier, Ph.D., Hogeschoolvan Amsterdam, 29-10-2019, Wiewordtdebaas over onzebig data?
3. MatthijsPontier, Ph.D., Hogeschool van Amsterdam, 29-10-2019, Wie wordt de baasover onze big data?
4. MatthijsPontier, Ph.D., Hogeschool van Amsterdam, 29-10-2019, Wie wordt de baasover onze big data?
5. Amsterdam wil data verzamelen en delen, om: – Maatschappelijke vraagstukken oplossen – Dienstverlening verbeteren – Slimmer handhaven – Openbare ruimte beheren – Werkprocessen efficiënter – Zorg verbeteren – Patronen herkennen om gedrag te beïnvloeden “Amsterdam doet daarbij graag zaken met de markt”
6. Verkapte privatisering publieke diensten? Wie beheert AI in ‘slimme’ stad? Wie beheert de data die we samen produceren? Wie profiteert van de voordelen? Wie kampt met de nadelen?
7. Niets te verbergen? Functie in sociale relaties Mogen anderen ook niks te verbergen hebben? Snowden: “I don't care about privacy, 'because I have nothing to hide', is like I don't care about free speech, Because I have nothing to say" Matthijs Pontier, Ph.D., Hogeschoolvan Amsterdam, 29-10-2019, Wiewordtdebaas over onzebig data?
8. Mass surveillance: voor 1 target, tienduizenden bespieden Info delen met dubieuze regimes Devices bewust lek houden om ons te hacken MatthijsPontier, Ph.D., Hogeschool van Amsterdam, 29-10-2019, Wie wordt de baasover onze big data?
9. Matthijs Pontier, Ph.D., Hogeschoolvan Amsterdam, 29-10-2019, Wiewordtdebaas over onzebig data?
10. 15-12-16 SyRI https://www.youtube.com/watch?v=2GkXCzYdrBY • Allerlei data die je met overheid deelt wordt aan elkaar geknoopt. • Iedereen is bij voorbaat verdacht -> bestempeld met risicoprofiel. • Op basis hiervan wordt je extra in de gaten gehouden, zonder dat je dit weet. • https://bijvoorbaatverdacht.nl/ Matthijs Pontier, Ph.D., Hogeschoolvan Amsterdam, 29-10-2019, Wiewordtdebaas over onzebig data?
11. 15-12-16 SyRI in Rotterdam 25.000 bewoners Bloemhof en Hillesluis op fraude onderzocht • 50% Foutmarge • 10% werd onderzocht • 0(!!) fraudegevallen opgespoord Na ophef gestopt met experiment Matthijs Pontier, Ph.D., HvA, 29-10-2019, Wiewordtdebaas over onzebig data?
12. Ron Kowsoleea
13. Privacy inperken voor veiligheid? 1. Niet effectief 2. Leidt tot ongezonde machtsverhouding 3. Privacy juist voorwaarde voor veiligheid 4. Er bestaan prima alternatieven
14. Overheid niet altijd betrouwbaar Overheid laat gegevens slingeren WRR: Overheid onbetrouwbaar met gegevens. Informatie wordt gemanipuleerd. Ook overheid kan misdadig gedrag vertonen
15. Function Creep
Who controls our smart cities - CuriousU Summer School - Twente University - ...
Who controls our smart cities - CuriousU Summer School - Twente University - 2019-08-16
1. Who controls our smart cities? Matthijs Pontier, Ph.D.
2. ⚫ Free sharing of information, art and culture ⚫ Evidence-based policy with long-term vision ⚫ Stimulate self-determination, but keep rights ⚫ Trust civilians vs Distrust ‘power' ⚫ Enthusiastic about tech, but alert on risks ⚫ Tech to empower people; not to repress Basic principles PPNL Matthijs Pontier, Ph.D., CuriousU Summer School,Twente University, 16-08-2019,Who controls our smart cities?
3. Matthijs Pontier, Ph.D., CuriousU Summer School,Twente University, 16-08-2019,Who controls our smart cities?
4. Matthijs Pontier, Ph.D., CuriousU Summer School,Twente University, 16-08-2019,Who controls our smart cities?
5. Matthijs Pontier, Ph.D., CuriousU Summer School,Twente University, 16-08-2019,Who controls our smart cities?
6. Is 'smart city' privatizing public services? Who controls AI in the ‘smart’ city? Who controls the data that we produce together? Who profits from the benefits? Who has to deal with the cons? Matthijs Pontier, Ph.D., CuriousU Summer School,Twente University, 16-08-2019,Who controls our smart cities?
7. Amsterdam wants to collect and share data, to: – Solve societal problems – Improve services – Smarter law enforcement – Manage public space – Improve working processes – Improve healthcare – Recognize patterns to influence behavior “Hereby, Amsterdam is happy to do business with the market”Matthijs Pontier, Ph.D., CuriousU Summer School,Twente University, 16-08-2019,Who controls our smart cities?
8. Cars that free your time to do other things
9. Local vs Centralized data Matthijs Pontier, Ph.D., CuriousU Summer School,Twente University, 16-08-2019,Who controls our smart cities?
10. Who will control ‘smart’ cars? Matthijs Pontier, Ph.D., CuriousU Summer School,Twente University, 16-08-2019,Who controls our smart cities?
11. Monopolization Matthijs Pontier, Ph.D., CuriousU Summer School,Twente University, 16-08-2019,Who controls our smart cities?
12. The bigger the company The bigger the power center The bigger the chance the company will misuse this power for its own benefit.. Matthijs Pontier, Ph.D., CuriousU Summer School,Twente University, 16-08-2019,Who controls our smart cities?
13. Corporate surveillance: ‘Smart TV’ Matthijs Pontier, Ph.D., CuriousU Summer School,Twente University, 16-08-2019,Who controls our smart cities?
14. If technology thinks for you, Then do the programmers tell you what to think?
15. Smart TV hackers are filming couples having sex on their sofa’s and they are putting it on porn sites! Matthijs Pontier, Ph.D., CuriousU Summer School,Twente University, 16-08-2019,Who controls our smart cities?
16. Matthijs Pontier, Ph.D., CuriousU Summer School,Twente University, 16-08-2019,Who controls our smart cities?
17. Who actually owns your 'smart home'? Hackers? Viruses? Terrorists? Companies that actually own your devices AI
How we can use technology to increase our freedom - Psychedelic Society of th...
How we can use technology to increase our freedom - Psychedelic Society of the Netherlands
1. How we can use tech to increase our Freedom and create a Better Future and outsmart governments and companies who want the opposite Matthijs Pontier, Ph.D Candidate #2 Piratenpartij Amsterdam Vice-president ENCOD
2. Contents: • Mass-surveillance (sleepwet) • Privacy protection / Safe communication • Platform capitalism and the harms of monopolization of tech • Cooperative alternatives • Darkweb marketplaces • E-Democracy • Universal Basic Income Contents Matthijs Pontier Ph.D, Psychedelic Society of the Netherlands, 25-02-2018, How we can use tech to increase our freedom
3. Free sharing of information, art and culture Evidence-based policy with long-term vision Stimulate self-determination, but keep rights Trust civilians vs Distrust ‘power' Enthusiastic about tech, but alert on risks Tech to empower people; not to repress Basic principles PPNL Matthijs Pontier Ph.D, Psychedelic Society of the Netherlands, 25-02-2018, How we can use tech to increase our freedom
4. Why do they call the WIV dragnet surveillance?
5. How do you find a needle in a haystack?
6. By making the haystack bigger? More data is leading to less safety
7. Matthijs Pontier Ph.D, Psychedelic Society of the Netherlands, 25-02-2018, How we can use tech to increase our freedom
8. Matthijs Pontier Ph.D, Psychedelic Society of the Netherlands, 25-02-2018, How we can use tech to increase our freedom
9. Matthijs Pontier Ph.D, Psychedelic Society of the Netherlands, 25-02-2018, How we can use tech to increase our freedom
10. Matthijs Pontier Ph.D, Psychedelic Society of the Netherlands, 25-02-2018, How we can use tech to increase our freedom
11. Privacy inperken voor veiligheid? 1. Niet effectief 2. Leidt tot ongezonde machtsverhouding 3. Privacy juist voorwaarde voor veiligheid 4. Er bestaan prima alternatieven
12. The government won’t protect your privacy Matthijs Pontier Ph.D, Psychedelic Society of the Netherlands, 25-02-2018, How we can use tech to increase our freedom
13. Secret services are keeping our devices unsafe because they want to hack us Dr. Matthijs Pontier, Laat je niet meeslepen Hacking agencies: Keeping us all unsafe
14. What’s wrong with the WIV? Matthijs Pontier Ph.D, Psychedelic Society of the Netherlands, 25-02-2018, How we can use tech to increase our freedom
15. What’s wrong with the WIV?
17. Tech companies (like cloud services) will move out for safe harbours Matthijs Pontier Ph.D, Psychedelic Society of the Netherlands, 25-02-2018, How we can use tech to increase our freedom Tech economy
18. Enrypt your e-mail Protonmail Encrypt phone Signal adblockers DNT uBlock / DNT TOR VPN
Laat jij je meeslepen?
Informatieve Piratenpartij-presentatie over de Wet op de Inlichtingen en Veiligheidsdiensten (WIV), oftewel de Sleepwet
1. Laat jij je meeslepen? Dr. Matthijs Pontier, Kandidaat #2 Piratenpartij Amsterdam
2. Waarom noemen ze ‘WIV’ eigenlijk ‘Sleepwet’?
3. Waar ik het over ga hebben: • Wat er vooraf ging • Wat is er goed aan de WIV .. wat is er mis mee • Wat kunnen we doen • Referendum • Rechtszaak
7. De WIV WIV
10. Eindverantwoordelijkheid op voorgenomen toezicht blijft bij de minister liggen Wat is er slecht?
11. hoe vind je een speld in een hooiberg?
12. Met een grotere hooiberg? Meer data is niet meer Veiligheid
13. •Iedereen heeft wel wat te verbergen •Functie in sociale relaties •Als je niks te verbergen hebt, mogen anderen dan ook niks te verbergen hebben? •Snowden: “Ik vind privacy niet belangrijk, want ik heb toch niets te verbergen Is als Ik vind vrijheid meningsuiting niet belangrijk, want ik heb toch niets te melden”
14. Privacy inperken voor veiligheid? 1. Niet effectief 2. Leidt tot ongezonde machtsverhouding 3. Privacy juist voorwaarde voor veiligheid 4. Er bestaan prima alternatieven
15. Dr. Matthijs Pontier, Laat jij je meeslepen?
16. Overheid niet altijd betrouwbaar • Overheid laat gegevens slingeren • WRR: Overheid onbetrouwbaar met gegevens. Informatie wordt gemanipuleerd. • Ook overheid kan misdadig gedrag vertonen
17. ‘Broedkamer’ Belastingdienst • SyRI, Systeem Risico Indicatie (Wet SUWI) tbv fraudepreventie Hierover zei de Raad van State: ‘Er [is] nauwelijks een persoonsgegeven te bedenken dat niet voor verwerking in aanmerking komt. De opsomming lijkt niet bedoeld om in te perken, maar om zoveel mogelijk armslag te hebben.’
18. DNA databank • AIVD/MIVD gaan zelf DNA materiaal verzamelen • Uit database ‘DNA voor veroordeelden’ maar ook via hacking • Database is geheim; je kunt niet controleren of jij of je familie erin staat
19. • Techbedrijven (zoals clouddiensten) zullen naar veilige plek vluchten Vestigingsklimaat tech-bedrijven
20. Onze devices worden bewust onveilig gehouden om ons te kun
Encod jaarplan 2018
ENCOD jaarplan voor 2018
1. ENCOD’s plannen voor 2018 Matthijs Pontier, Ph.D., Vice-president ENCOD
2. Doelen ENCOD Eerlijk en efficiënt drugsbeleid Rechten van producenten en consumenten beschermen Informatie verstrekken over veilige teelt / veilig gebruik Matthijs Pontier, Ph.D., ENCOD’s plannen voor 2018, 14-12-2017
3. ENCOD nu ~150 leden, aantal neemt gestaag toe 7 mensen in Executive Committee (vrijwel) volledig vrijwillig: Mauro Picavet President Nederland Matthijs Pontier Vice-president Nederland Gabrielle Kozar Penningmeester Oostenrijk Nico Vlaming Secretaris Nederland Ana Afuera Spanje Maja Kohek Slovenie Enrico Fletzer Italie Matthijs Pontier, Ph.D., ENCOD’s plannen voor 2018, 14-12-2017
4. Huidige activiteiten ENCOD Organisatie heropgebouwd en hervormd Beurzen en evenementen bezocht Bestaande contacten opnieuw opgepakt Contact met politici voor verbetering beleid ECOSOC status aangevraagd voor politieke campagnes Website vernieuwen Informatie verspreid over ontwikkelingen drugsbeleid via Nieuwsbrief, Bulletin, Facebook, Twitter Netwerkbijeenkomst Matthijs Pontier, Ph.D., ENCOD’s plannen voor 2018, 14-12-2017Matthijs Pontier, Ph.D., ENCOD’s plannen voor 2018, 14-12-2017
5. Holarchie Horizontale organisatie, maar met structuur Doelen, rollen, taken definiëren Met een rol / taak, komt Verantwoordelijkheid, Vrijheid en Vertrouwen Meritocratie Structuur organisatie is volledig transparant Dit maakt directe communicatie mogelijk Matthijs Pontier, Ph.D., ENCOD’s plannen voor 2018, 14-12-2017
6. Holarchie Matthijs Pontier, Ph.D., ENCOD’s plannen voor 2018, 14-12-2017
7. ENCOD ENCOD NL ENCOD NL Penningmeester EC Organizer Secretaris Vertaler Webmaster Ontwerper Comunicator CSC-contact Matthijs Pontier, Ph.D., ENCOD’s plannen voor 2018, 14-12-2017
8. Holarchy Matthijs Pontier, Ph.D., ENCOD’s plannen voor 2018, 14-12-2017
9. ENCOD in 2018 Campagnes: Cannnabis Social Clubs: Good practices guide en consultancy Freedom to farm Seeds for Drug Peace Global Marijuana March Politiek: Lobby EU / VN / lidstaten Database met situatie politiek en drugsbeleid per land Infopakket voor lokale overheden / lokale politiek Info: Archief van eerdere presentaties / lezingen Advocaten database Matthijs Pontier, Ph.D., ENCOD’s plannen voor 2018, 14-12-2017
10. Cannabis Social Clubs: Good Practices Guide Good Practices Guide ontwikkelen Consultancy om te helpen met opstarten / hulp bij problemen CATEGORY AMOUNT IN € Web page creation 2.000 Print materials (banners, flyers, stickers, etc.) 1.000 / year Online advertising 100 / month Coordination + webadmin + communication worker fees (0,2 fte total) 400 / month Consultancy fees (0,4 fte) 800 / month TOTAL FIRST YEAR 18.600 TOTAL NEXT YEARS 16.600Matthijs Pontier, Ph.D., ENCOD’s plannen voor 2018, 14-12-2017
11. Freedom to farm Campage voor zelfbeschikkingsrecht Vrije en Veilige Cultivatie
Wie krijgt de controle over onze data - Inholland Diemen - 2017 11-23
1. Wij krijgt controle over onze Big Data? Matthijs Pontier, Ph.D.
2. Vrij delen van informatie, kunst en cultuur Evidence-based policy met een lange-termijn visie Zelfbeschikking stimuleren zonder dat dit ten koste gaat van rechten Vertrouwen in goedheid mensen vs Wantrouwen machtsstructuren Enthousiast over mogelijkhede tech, maar alert op risico’s Tech to empower people; niet om te onderdrukken Basis principes PPNL Matthijs Pontier, Ph.D, 24-11-2017, Inholland Diemen, Wie krijgt controle over onze Big Data?
3. Monopolization Matthijs Pontier, Ph.D, 24-11-2017, Inholland Diemen, Wie krijgt controle over onze Big Data?
4. Hoe groter het bedrijf Hoe groter het machtscentrum Hoe groter de kans dat een bedrijf deze macht op een verkeerde manier gaat gebruiken Matthijs Pontier, Ph.D, 24-11-2017, Inholland Diemen, Wie krijgt controle over onze Big Data?
5. Corporate surveillance: ‘Smart TV’ Matthijs Pontier, Ph.D, 24-11-2017, Inholland Diemen, Wie krijgt controle over onze Big Data?
6. Smart TV hackers filmen mensen die seks hebben op hun bank en plaatsen het op porno sites! Matthijs Pontier, Ph.D, 24-11-2017, Inholland Diemen, Wie krijgt controle over onze Big Data?
7. Matthijs Pontier, Ph.D, 24-11-2017, Inholland Diemen, Wie krijgt controle over onze Big Data?
8. Wie wordt de baas in jouw ‘slimme’ huis? Hackers? Virussen? Terroristen? Bedrijven die eigenlijk je apparaat bezitten in praktijk? De AI die vertelt wat je moet doen? Of krijgen ze een eigen wil? Matthijs Pontier, Ph.D, 24-11-2017, Inholland Diemen, Wie krijgt controle over onze Big Data?
9. Verkapte privatisering publieke diensten? Wie beheert AI in ‘slimme’ stad? Wie beheert de data die we samen produceren? Wie profiteert van de voordelen? Wie kampt met de nadelen? Matthijs Pontier, Ph.D, 24-11-2017, Inholland Diemen, Wie krijgt controle over onze Big Data?
10. Matthijs Pontier, Ph.D, 24-11-2017, Inholland Diemen, Wie krijgt controle over onze Big Data?
11. Responsible Digital Cities Bewoners bepalen wat er met hun data gebeurt: Privacy = Ownership Bewoners bepalen hoe digitale stad zich ontwikkelt Democratie Verzamelde data is gemeenschapsgoed: Commons Openheid over dataverzameling en verwerking Transparantie Iedereen kan meedoen: Inclusie Menselijke maat staat centraal in alles wat we doen Empathie Matthijs Pontier, Ph.D, 24-11-2017, Inholland Diemen, Wie krijgt controle over onze Big Data?
12. Matthijs Pontier, Ph.D, 24-11-2017, Inholland Diemen, Wie krijgt controle over onze Big Data?
13. Privacy inperken voor veiligheid? 1. Niet effectief 2. Leidt tot ongezonde machtsverhouding 3. Privacy juist voorwaarde voor veiligheid 4. Er bestaan prima alternatieven
14. Niets te verbergen? Iedereen heeft wel wat te verbergen Functie in sociale relaties Als je niks te verbergen hebt, mogen anderen dan ook niks te verbergen hebben? Snowden: “Ik vind privacy niet belangrijk, want ik heb toch niets te verbergen” “Ik vind vrijheid meningsuiting
How we can use technology to increase our freedom - and outsmart governments ...
Psyi 2017 how use tech to improve freedom
How we can use technology tu increase our freedom - and outsmart governments and companies who want the opposite - Lecture at Psy-Fi 2017
1. How we can use technology to increase our freedom and outsmart governments and companies who want the opposite Dr. Matthijs Pontier
2. Contents: • Lessons from tech dystopia’s • Self-driving cars as an example • Platform capitalism and the harms of monopolization of tech • Privacy protection / Safe communication • Machine ethics • Darkweb marketplaces • Universal Basic Income • E-Democracy Contents Matthijs Pontier, Psy-Fi 2017, 16-08-2017, How we can use tech to increase our freedom
3. Free sharing of information, art and culture Evidence-based policy with long-term vision Stimulate self-determination, but keep rights Trust civilians vs Distrust ‘power' Enthusiastic about tech, but alert on risks Tech to empower people; not to repress Basic principles PPNL Matthijs Pontier, Psy-Fi 2017, 16-08-2017, How we can use tech to increase our freedom
4. Using tech for good: Improving autonomy Matthijs Pontier, Psy-Fi 2017, 16-08-2017, How we can use tech to increase our freedom
5. Drinking
6. Road safety ;) Matthijs Pontier, Psy-Fi 2017, 16-08-2017, How we can use tech to increase our freedom
7. Matthijs Pontier, Psy-Fi 2017, 16-08-2017, How we can use tech to increase our freedomMatthijs Pontier, Psy-Fi 2017, 16-08-2017, How we can use tech to increase our freedom
8. More room for people and plants
9. Matthijs Pontier, Psy-Fi 2017, 16-08-2017, How we can use tech to increase our freedom
10. Matthijs Pontier, Psy-Fi 2017, 16-08-2017, How we can use tech to increase our freedom
11. Who will control ‘smart’ cars? Matthijs Pontier, Psy-Fi 2017, 16-08-2017, How we can use tech to increase our freedom
12. Who will control ‘smart’ cars? Hackers? Viruses? Terrorists? Car company that calls them back if you don’t pay? The AI that tells you what to do? Or will they control themselves? Matthijs Pontier, Psy-Fi 2017, 16-08-2017, How we can use tech to increase our freedom
13. Local vs Centralized data Matthijs Pontier, Psy-Fi 2017, 16-08-2017, How we can use tech to increase our freedom
14. Monopolization Matthijs Pontier, Psy-Fi 2017, 16-08-2017, How we can use tech to increase our freedom
15. The bigger the company -> Bigger power concentration -> Bigger chance that this company will use its power in malicious ways Matthijs Pontier, Psy-Fi 2017, 16-08-2017, How we can use tech to increase our freedom
16. Need to stop corporate surveillance Regulate Big Business vs More freedom for small startups
17. Safe communication is necessary for progress We won’t know what will be prohibited when and where Self-censorship If we would have had current control systems in the past, would homosexuality still be illegal? Matthijs Pontier, Psy-Fi 2017, 16-08-2017, Using tech to increase freedom
18. The government won’t protect your privacy
Wie de data controleert, heeft de macht - Symposium sticky / gastles UniC, U...
1984, amsterdam, amsterdam-west, anpr, cameratoezicht, democratie, function creep, gemeenteraad, huxley, marcouch, orwell, panopticon, piratenpartij, politiek, ppnl, preventief fouilleren, privacy, surveillance, veiligheid, waterbedeffect
1. Het belang van privacy als je niets te verbergen hebt Dr. Matthijs Pontier
2. Privacy inperken voor veiligheid? 1. Niet effectief 2. Leidt tot ongezonde machtsverhouding 3. Privacy juist voorwaarde voor veiligheid 4. Er bestaan prima alternatieven
3. Niets te verbergen? • Iedereen heeft wel wat te verbergen • Functie in sociale relaties • Als je niks te verbergen hebt, mogen anderen dan ook niks te verbergen hebben? • Snowden: “Ik vind privacy niet belangrijk, want ik heb toch niets te verbergen”, is als “Ik vind vrijheid meningsuiting niet belangrijk, want ik heb toch niets te melden”
4. Ron Kowsoleea
5. Scheve Machtsverhouding Burger - Overheid – Reisgedrag en function creep – Bespieden telefoon- en computergebruik – Internet of Things Dr. Matthijs Pontier, UUMUN TEDx, Utrecht, 30-9-2016
6. Vrije samenleving nodig voor vooruitgang • We weten niet wat waar wanneer fout is Zelfcensuur • Met huidige controlesystemen was homoseksualiteit nog steeds illegaal geweest Dr. Matthijs Pontier, UUMUN TEDx
7. Overheid niet altijd betrouwbaar • Overheid laat gegevens slingeren • WRR: Overheid onbetrouwbaar met gegevens. Informatie wordt gemanipuleerd. • Ook overheid kan misdadig gedrag vertonen
8. Sleepnetmethode + Profiling • Discriminatie zonder te weten waarop • Speuren naar ‘afwijkend gedrag’ Dr. Matthijs Pontier, UUMUN TEDx, Utrecht, 30-9-2016
9. Slachtoffers van Profiling
13. Slachtoffers van Profiling: Daniel
14. Corporate surveillance: ‘Smart TV’ Dr. Matthijs Pontier, UUMUN TEDx, Utrecht, 30-9-2016
15. Smart TV hackers are filming couples having sex on their sofa’s and they are putting it on porn sites! Dr. Matthijs Pontier, UUMUN TEDx, Utrecht, 30-9-2016
16. Smart technology • Als technologie voor je denkt bepalen programmeurs dan wat je denkt? Dr. Matthijs Pontier, Piratenpartij – HvA, HBO Rechten, 2-9-2016
17. Wanneer algoritmes ons controleren... Dr. Matthijs Pontier, UUMUN TEDx, Utrecht, 30-9-2016
19. <slide> Dr. Matthijs Pontier, UUMUN TEDx, Utrecht, 30-9-2016
20. • Enrypt e-mail Protonmail • Encrypt phone / messaging Signal • Gebruik adblockers en DNT uBlock / DNT • Iets van het Internet afhalen bestaat niet Privacy: Oplossingen
21. Veilig en vrij • Privacy juist voorwaarde voor veiligheid • Herstel machtsverhouding burger overheid • Kies voor effectieve maatregelen – Gerichte surveillance
22. Bedankt! • @Matthijs85 • Matthijs Pontier • matthijs@piratenpartij.nl • http://www.piratenpartij.nl/ • @Piratenpartij •
Hoe de Piratenpartij de rechtsstaat wil beschermen en waarom je deze presenta...
Hoe de Piratenpartij de rechtsstaat wil beschermen en waarom je deze presentatie met iedereen mag delen - Presentatie voor Digi Juridica, VU University Amsterdam
Hoe we kunnen zorgen dat iedereen profiteert van robotisering | ConferentieSo...
Hoe we kunnen zorgen dat iedereen profiteert van robotisering Dr. Matthijs Pontier
2. Waarom ontwikkelen we technologie? Evolutionaire vooruitgang Het laten voortbestaan van (menselijk) leven Om ons welzijn te vergroten Dr. Matthijs Pontier, Sociale Innovatie, 16-12-2016, Hoe kunnen we zorgen dat iedereen van robotisering profiteert
3. Dr. Matthijs Pontier, Sociale Innovatie, 16-12-2016, Hoe kunnen we zorgen dat iedereen van robotisering profiteert
4. Vrij delen van informatie, kunst en cultuur Evidence-based policy met een lange-termijn visie Zelfbeschikking stimuleren zonder dat dit ten koste gaat van rechten Vertrouwen burgers vs Wantrouwen ‘macht' Enthousiast over tech, maar alert op risico’s Tech to empower people; niet om te onderdrukken Basis principes PPNL Dr. Matthijs Pontier, Sociale Innovatie, 16-12-2016, Hoe kunnen we zorgen dat iedereen van robotisering profiteert
5. Welzijn en autonomie vergroten Dr. Matthijs Pontier, Sociale Innovatie, 16-12-2016, Hoe kunnen we zorgen dat iedereen van robotisering profiteert
6. Cars that free your time to do other things
7. Drinking Dr. Matthijs Pontier, Sociale Innovatie, 16-12-2016, Hoe kunnen we zorgen dat iedereen van robotisering profiteert
8. Road safety ;) Dr. Matthijs Pontier, Sociale Innovatie, 16-12-2016, Hoe kunnen we zorgen dat iedereen van robotisering profiteert
9. Road safety Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
10. Less road rage
11. More room for people and plants
12. Boosting highway capacity 273%
13. Boosting Highway capacity Dr. Matthijs Pontier, Sociale Innovatie, 16-12-2016, Hoe kunnen we zorgen dat iedereen van robotisering profiteert
14. Save energy
15. Gedeelde verantwoordelijkheid Stop met het bouwen van nieuwe wegen Stop met het bouwen van nieuwe parkeerplaatsen Dr. Matthijs Pontier, Sociale Innovatie, 16-12-2016, Hoe kunnen we zor
16. Governments are lagging behind Governments are lagging behind
17. Monopolization Dr. Matthijs Pontier, Sociale Innovatie, 16-12-2016, Hoe kunnen we zorgen dat iedereen van robotisering profiteert
18. Hoe groter het bedrijf Hoe groter het machtscentrum Hoe groter de kans dat een bedrijf deze macht op een verkeerde manier gaat gebruiken
19. Need to stop corporate surveillance Regulate Big Business vs More freedom for small startups
20. Unequal power distribution
21. Dr. Matthijs Pontier, Sociale Innovatie, 16-12-2016, Hoe kunnen we zorgen dat iedereen van robotisering profiteert
22. Techno-progressivism Democratiseer de ontwikkeling van technologie Kosten, risico’s en opbrengsten worden eerlijk gedeeld Ontwikkel technologie op zo’n manier dat het welzijn bevordert
23. Dr. Matthijs Pontier, Sociale Innovatie, 16-12-2016, Hoe kunnen we zorgen dat iedereen van robotisering profiteert
24. Dr. Matthijs Pontier, Sociale Innovatie, 16-12-2016
25. Als technologie voor je denkt Vertellen programmeurs dan
Het belang van privacy, als je niets te verbergen hebt
1984, amsterdam, amsterdam-west, anpr, cameratoezicht, democratie, function creep, gemeenteraad, huxley, marcouch, orwell, panopticon, piratenpartij, politiek, ppnl, preventief fouilleren, privacy, surveillance, veiligheid, waterbedeffect
1. Het belang van privacy als je niets te verbergen hebt Dr. Matthijs Pontier
2. Privacy inperken voor veiligheid? 1. Niet effectief 2. Leidt tot ongezonde machtsverhouding 3. Privacy juist voorwaarde voor veiligheid 4. Er bestaan prima alternatieven
3. Niets te verbergen? • Iedereen heeft wel wat te verbergen • Functie in sociale relaties • Als je niks te verbergen hebt, mogen anderen dan ook niks te verbergen hebben? • Snowden: “Ik vind privacy niet belangrijk, want ik heb toch niets te verbergen”, is als “Ik vind vrijheid meningsuiting niet belangrijk, want ik heb toch niets te melden”
4. Ron Kowsoleea
5. Scheve Machtsverhouding Burger - Overheid – Reisgedrag en function creep – Bespieden telefoon- en computergebruik – Internet of Things Dr. Matthijs Pontier, UUMUN TEDx, Utrecht, 30-9-2016
6. Vrije samenleving nodig voor vooruitgang • We weten niet wat waar wanneer fout is Zelfcensuur • Met huidige controlesystemen was homoseksualiteit nog steeds illegaal geweest Dr. Matthijs Pontier, UUMUN TEDx
7. Overheid niet altijd betrouwbaar • Overheid laat gegevens slingeren • WRR: Overheid onbetrouwbaar met gegevens. Informatie wordt gemanipuleerd. • Ook overheid kan misdadig gedrag vertonen
8. Sleepnetmethode + Profiling • Discriminatie zonder te weten waarop • Speuren naar ‘afwijkend gedrag’ Dr. Matthijs Pontier, UUMUN TEDx, Utrecht, 30-9-2016
9. Slachtoffers van Profiling
13. Slachtoffers van Profiling: Daniel
14. Corporate surveillance: ‘Smart TV’ Dr. Matthijs Pontier, UUMUN TEDx, Utrecht, 30-9-2016
15. Smart TV hackers are filming couples having sex on their sofa’s and they are putting it on porn sites! Dr. Matthijs Pontier, UUMUN TEDx, Utrecht, 30-9-2016
16. Smart technology • Als technologie voor je denkt bepalen programmeurs dan wat je denkt? Dr. Matthijs Pontier, Piratenpartij – HvA, HBO Rechten, 2-9-2016
17. Wanneer algoritmes ons controleren... Dr. Matthijs Pontier, UUMUN TEDx, Utrecht, 30-9-2016
19. <slide> Dr. Matthijs Pontier, UUMUN TEDx, Utrecht, 30-9-2016
20. • Enrypt e-mail Protonmail • Encrypt phone / messaging Signal • Gebruik adblockers en DNT uBlock / DNT • Iets van het Internet afhalen bestaat niet Privacy: Oplossingen
21. Veilig en vrij • Privacy juist voorwaarde voor veiligheid • Herstel machtsverhouding burger overheid • Kies voor effectieve maatregelen – Gerichte surveillance
22. Bedankt! • @Matthijs85 • Matthijs Pontier • matthijs@piratenpartij.nl • http://www.piratenpartij.nl/ • @Piratenpartij • 15/16 oktober houden we ons congres met sprekers, kunst en muziek •
Hoe de piratenpartij de rechtsstaat wil beschermen - en wetten klaar wil make...
Hoe de piratenpartij dea rechtsstaat wil beschermen - en wetten klaar wil maken voor de toekomst
Het draait om onze ideeen - pitch lijsttrekkersverkiezingen piratenpartij TK2...
Zoals jullie weten, sta ik hier omdat ik lijsttrekker wil worden
en eigenlijk voelt dat een beetje raar,
want ik praat veel liever over waarom onze ideen beter zijn dan die van andendere partijen,
dan dat ik moet gaan vertellen waarom ik beter zou zijn dan iemand anders,
maar juist dat maakt mij misschien wel een goede lijsttrekker.
Want het is juist een van de grootste probleem in onze samenleving
dat sommige mensen denken dat ze beter zijn dan anderen
en dan de baas gaan spelen over hen.
De geschiedenis laat zien dat macht corrumpeert.
Bij overheden, bewiendsleden, maar ook bedrijven zoals Google, Facebook en de farmaceutische industrie.
Doordat we nu met het internet met elkaar verbonden zijn,
kunnen we met de massa sterker zijn dan wie of wat dan ook.
Als je mensen wil overtuigen, moet je niet alleen weten wat je vindt,
maar vooral ook waarom je het vindt.
Bij ons ligt de kern daarbij in decentralisatie van macht.
Van daaruit kun je al onze kernpunten beredeneren.
Want we vinden privacy niet alleen maar belangrijk omdat we anders bespied worden,
maar ook omdat anders de controleurs te machtig zijn.
We vinden democratie belangrijk omdat anders de bestuurders te machtig worden.
En we vinden vije Informatie belangrijk, want kennis is macht, en die moet zich dus zoveel mogelijk verspreiden.
In de Tweede Kamer moeten we natuurlijk onze standpunten op een heleboel verschillende onderwerpen gaan bepalen, of we dat nou willen of niet.
Dan is het dus belangrijk dat we dat doen op een manier waarop we ook met elkaar verbonden blijven
Ik ben naar IJsland gegaan om te kijken hoe ze dat daar doen,
want daar gaat het eigenlijk heel goed.
En ik het daar ook uitgebreid met Brigitta over gepraat,
en ook zij zei: we focusen vooroal op democratie en decentralisatie
op die manier kunnen we samen standpunten bepalen over een heleboel onderwerpen,
zoals bijvoorbeeld ook het basisinkomen.
En dat kan dus ook,
zolang je altijd maar vanuit de kern blijft redeneren
en prioriteit blijft geven aan de belangrijkste kernpunten
Ik praat graag over deze visie.
Dat deed ik als wetenschapper,
maar dat ben ik bij de Piratenpartij natuurlijk alleen nog maar meer gaan doen,
ook buiten campagnetijd.
Ik heb stukken geschreven, interviews, mediaoptredens,
maar daar ga ik nu verder niet teveel over zeggen.
Ik heb een mooi lijstje gemaakt van 17 kantjes,
waarop jullie het allemaal kunnen terugzien en teruglezen, als jullie willen.
Ik heb veel debatten gevoerd en krijg daar vaak enthousiaste reacties over;
grote groepen mensen toegesproken op demonstraties
Ik werk graag samen met andere bewgingen en organisaties;
haal goede mensen bij de Piratenpartij, zols Jelle, Ancilla, en Niels waarmee we veel ludieke acties hebben gedaan.
Ik vind het leuk om samen met anderen projecten op te zetten,
bijvoorbeeld Crowdsource Europe
How autonomous cars are going to change our future - and what we can do to op...
How autonomous cars are going to change our future - and what we can do to optimize that
How self-driving cars are going to change the future of mobility dr. Matthijs Pontier
2. Science Fiction becoming reality Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
3. History • Autopiloting in airplanes since 1914 • PRT-systems since 1975 • London Heathrow since 2011 Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
4. Total Recall Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
5. Now • Delivery drones • Driverless public transport • Driverless personal cars • Car-sharing increasingly popular • Driverless will become standard in 2025~2035 Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
6. Without hands Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
7. Cars that free your time to do other things
8. More comfort Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
9. Road safety ;) Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
10. Drinking Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
11. Less road rage Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
12. No more speeding tickets or parking fees Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
13. Why bother owning a car? • Building vehicles vs Enabling mobility • Making cars look different is easy • No more parking lots Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
14. More room for people and plants Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
15. Road safety Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
16. Boosting highway capacity 273% Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
17. Boosting Highway capacity Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
18. Driving fast and safe Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
19. Save energy Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
20. More traffic at night Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
21. Less flying Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
22. Putting a halt to urbanization?
Geef de grondwet (eindelijk eens) waarde
Presentatie over grondwettelijke toetsing
Artikel 120
Art120Gw
1. Geef de grondwet (eindelijk eens) waarde dr. Matthijs Pontier, Piratenpartij
2. Inhoud • Huidige hypocrisie • Wat grondwettelijke toetsing in het buitenland oplost • Wat grondwettelijke toetsing in Nederland zou kunnen oplossen Matthijs Pontier, Artikel120Gw, Utrecht, 21-3-2016, Geef de Grondwet eindelijk eens waarde
3. Hypocrisie over Hongarije • De grondwet wordt ingeperkt, maar er wordt tenminste nog wel aan getoetst (alhoewel dit alleen op procedurele gronden mag) • In strijd met artikel 2 VEU? Hoe zit het dan met Artikel 120 Gw? Matthijs Pontier, Artikel120Gw, Utrecht, 21-3-2016, Geef de Grondwet eindelijk eens waarde
4. Hypocrisie over Hongarije • De grondwet wordt ingeperkt, maar er wordt tenminste nog wel aan getoetst (alhoewel dit alleen op procedurele gronden mag) • In strijd met artikel 2 VEU? Hoe zit het dan met Artikel 120 Gw? • Artikel 2 VEU: Volgens deze bepaling berust de Europese Unie op de waarden van vrijheid, democratie, gelijkheid en de rechtsstaat, en hebben de lidstaten deze waarden gemeen. Lidstaten kunnen dus niet volledig naar believen hun constituties inrichten, ook al is hiervoor voldoende draagvlak in een land zelf. http://www.publiekrechtenpolitiek.nl/hongarije-tart-eu/ Matthijs Pontier, Artikel120Gw, Utrecht, 21-3-2016, Geef de Grondwet eindelijk eens waarde
5. En over Polen.. • EU: “Stel Polen onder toezicht” Matthijs Pontier, Artikel120Gw, Utrecht, 21-3-2016, Geef de Grondwet eindelijk eens waarde
6. Grondwet is nu (formeel) eigenlijk WC-papier? Matthijs Pontier, Artikel120Gw, Utrecht, 21-3-2016, Geef de Grondwet eindelijk eens waarde
7. • Artikel 1 discriminatieverbod • Artikel 2 III, IV uitlevering en verlaten van het land • Artikel 3 benoeming in openbare dienst • Artikel 4, 54, 56, 129 actief en passief kiesrecht • Artikel 5 verzoekrecht • Artikel 6 vrijheid van godsdienst/levensovertuiging • Artikel 7 vrijheid van meningsuiting • Artikel 8 recht van vereniging • Artikel 9 recht van vergadering en betoging • Artikel 10 I recht op eerbiediging persoonlijke levenssfeer • Artikel 11 recht op onaantastbaarheid van lichaam • Artikel 12 binnentreden in een woning • Artikel 13 brief-, telefoon- en telegraafgeheim • Artikel 14 eigendomsrecht/onteigening • Artikel 15 vrijheidsontneming • Artikel 16 geen strafbaarheid zonder daaraan voorafgegane wettelijke strafbepaling • Artikel 17 toegang tot de rechter • Artikel 18 I rechtsbijstand • Artikel 19 III recht op vrije arbeidskeuze • Artikel 23, II-VII: vrijheid van onderwijs • Artikel 99 vrijstelling van militaire dienst wegens gewetensbezwaren • Artikel 113 III vrijheidsstraf uitsluitend door rechterlijke macht opgelegd • Artikel 114 geen doodstraf • Artikel 121 openbare en gemotiveerde rechtspraak
8. Corruptie tegenhouden (Italie) • Immuniteit voor belastingontwijking Berlusconi
Berlusconi zette buitenlandse vennootschappen op, zodat Berlusconi's bedrijven belasting ko
Exponential technology - How do we make sure everyone benefits?
Exponential technology - How do we make sure everyone benefits?
Democracy, democratic transhumanism, technoprogressivism, Exponential Technology How can we make sure everyone benefits? Dr. Matthijs Pontier
2. Content • Why should everyone benefit? • How do we make sure everyone benefits? • Democratic Transhumanism • Machine Ethics • When we succeed New ethical dilemma’s Matthijs Pontier, Leiden, 27-2-2016 Where is the boundary of the human? The new technological turn
3. Why should everyone benefit? Who is everyone? • Does life matter? Matthijs Pontier, Leiden, 27-2-2016Where is the boundary of the human? The new technological turn
4. Why should everyone benefit? Who is everyone? • What is life, anyway? Matthijs Pontier, Leiden, 27-2-2016
5. Why should everyone benefit? Who is everyone? • Does life matter? • What is life, anyway? • Does human life matter? Matthijs Pontier, Leiden, 27-2-2016
6. Why should everyone benefit? Who is everyone? • Does life matter? • What is life, anyway? • Does human life matter? • Do human individuals matter? Matthijs Pontier, Leiden, 27-2-2016
7. Why build technology? Matthijs Pontier, Leiden, 27-2-2016 Where is the boundary of the human? The new technological turn
8. Why build technology? Matthijs Pontier, Leiden, 27-2-2016 Where is the boundary of the human? The new technological turn
9. Why build technology?
10. Why build technology? Matthijs Pontier, Leiden, 27-2-2016 Where is the boundary of the human? The new technological turn
11. Why build technology? • Evolutionary progress • Preserve (human) life • To preserve human rights • To improve our well-being Matthijs Pontier, Leiden, 27-2-2016 Where is the boundary of the human? The new technological turn
12. Why build technology? • Evolutionary progress – Description of a process or goal in itself? • Preserve (human) life • To preserve human rights • To improve our well-being Matthijs Pontier, Leiden, 27-2-2016 Where is the boundary of the human? The new technological turn
13. Why build technology? • Evolutionary progress / Preserve humans • To preserve human rights • To improve our well-being • Hedonic utilitarianism? Matthijs Pontier, Leiden, 27-2-2016
14. Why build technology? • Evolutionary progress / Preserve humans • To preserve human rights • To improve our well-being • Hedonic utilitarianism? Matthijs Pontier, 15. Brave New World
17. How do we promote happiness?
18. Promoting happiness: Kill all unhappy people? 19. Promoting happiness: Improving autonomy? 20. How do we promote autonomy? • If everyone uses cognitive enhancers, do you still have a free choice to use it yourself?
1984, ai, autonomy, brave new world, democracy, democratic transhumanism, ethics, healthcare, human enhancement, huxley, ik ben alice, machine ethics, open source, orwell, philosophy, robots, science, tech, technology, technoprogressivism
Piratenpartij: Tegen macht, Voor vrijheid
Presentatie over Piratenpartij voor 5VWO Goois Lyceum Bussum
Tegen macht Voor vrijheid dr. Matthijs Pontier Lijsttrekker Piratenpartij EP2014 Duolid Waterschap Amstel, Gooi en Vecht
2. Zeepiraten / Vrijbuiters Woordpiraten Radiopiraten Internetpiraten Geschiedenis piraterij
3. 18-02-16
4. Piratenpartij is Internationaal
5. Vertrouwen burgers vs Wantrouwen 'macht' Mensen zoveel mogelijk zelf laten doen, Maar altijd zorgen dat rechten behouden blijven Enthousiast over mogelijkheden technologie Maar alert op risico’s en mogelijk misbruik Vrij delen van kennis, kunst en cultuur Evidence-based beleid met lange-termijn visie Met oplossingen komen Basisprincipes
6. 18-02-16 Mass-surveillance Vrijheidsinperkingen Ondoorzichtig top-down bestuur Privacybescherming Zelfbeschikking E-Democracy Verschillende vormen van macht en oplossingen: Tegenmacht
7. 18-02-16
8. 18-02-16
9. 18-02-16
10. 18-02-16
11. 18-02-16
12. Privacy inperken voor veiligheid? • Leidt tot ongezonde machtsverhouding • Privacy juist voorwaarde voor veiligheid • Niet effectief
13. Evaluatie Cameratoezicht Amsterdam-West • 130.000,- excl. Personeelskosten voor 3 camera’s • Beelden waren nooit bruikbaar voor ingrijpen Cameratoezicht = Dure veiligheidsgevoelens
14. Algemeen onderzoek naar effectiviteit cameratoezicht • Bordje ophangen vaak effectiever • Beelden zelden bruikbaar voor opsporing of berechting • Slechts preventief effect calculerende daders • Waterbedeffect: Verplaatsing criminaliteit
15. 18-02-16 Veiligheid Veiligheid vs Onveiligheidsgevoel We geven jaarlijks 13 miljard uit aan veiligheid Afgelopen 11 jaar zijn gemeentes 141% meer gaan uitgeven aan veiligheidsbeleid
16. Niets te verbergen? • Iedereen heeft wel wat te verbergen • Functie in sociale relaties • Als je niks te verbergen hebt, mogen anderen dan ook niks te verbergen hebben?
17. Preventief fouilleren
18. Scheve Machtsverhouding Burger - Overheid – Reisgedrag • Criminelen kraken productie kentekenplaten – Bespieden telefoon- en computergebruik – Function creep
19. Profiling • Discriminatie zonder te weten waarop • Speuren naar ‘afwijkend gedrag’
20. Slachtoffers van Profiling
21. Slachtoffers van Profiling
22. Slachtoffers van Profiling
23. Slachtoffers van Profiling
24. Slachtoffers van Profiling
25. Slachtoffers van Profiling
26. Overheid niet altijd betrouwbaar • Overheid laat gegevens slingeren – ¼ Rechercheurs wil geen DNA afstaan • WRR: Overheid is onbetrouwbaar met gegevens. Informatie wordt gemanipuleerd • Ook overheid kan misdadig gedrag vertonen
27. Vrije samenleving nodig voor vooruitgang • Was met huidige controlesystemen homoseksualiteit nog steeds illegaal geweest? • We weten niet wat, waar, wanneer fout is Zelfcensuur "If there is no right to privacy, there can be no true freedom of expression and opinion, and
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Dating a Robot is like Dating a Man - A new perspective on the Turing Test - presentation Etmaal'13, Rotterdam, Februari 7-8
- 1. Dating a Robot is like Dating a Man A New Perspective on the Turing Test Matthijs Pontier, Johan Hoorn, Elly Konijn, Rens van de Schoot m.a.pontier@vu.nl @Matthijs85
- 2. Overview of this presentation • Background • Silicon Coppelia: Model of Emotional Intelligence • Turing Test / Speed-Dating Application • Results • Future Work Rotterdam, Februari 4th 2013 ETMAAL 2013 2
- 3. Background • Increasingly, technology mimics humans • CMC and HCI are merging fields • Humans treat and experience technology as other humans • Talk to TV, Talk to car • Hit computer that frustrates you • Cyberball game • Robots are becoming a part of our daily lives • Pets (AIBO/Paro), companions, nurses, tour guides, teachers • But: Affective behavior robots still quite simple Rotterdam, Februari 4th 2013 ETMAAL 2013 3
- 4. Validation Silicon Coppelia • We developed Silicon Coppelia, with the goal to create emotionally human-like robots • Simulation experiments: System behaves consistent with Theory and Intuition • Never tested with human users yet • This study: Compare performance model with performance real human in speeddating experiment Rotterdam, Februari 4th 2013 ETMAAL 2013 4
- 6. Turing Test • Turing Test was originally text-based • We enriched test with affect-laden communication • Facial expressions showing emotions • Capable of vocal speech • Afterwards questionnaire: How do you think Tom perceived you? Measure made continuous and more elaborated than simply yes/no • Analysis: Bayesian structural equation modeling Rotterdam, Februari 4th 2013 ETMAAL 2013 6
- 8. Results • Participants did not detect differences on single variables • Participants did not recognize significant differences on cognitive-affective structure • Model in which conditions (1: human, 2: robot) were assumed equal explained data better than model in which conditions were assumed different Rotterdam, Februari 4th 2013 ETMAAL 2013 8
- 9. Cognitive-Affective Structure Rotterdam, Februari 8th 2013 ETMAAL 2013 9
- 10. Conclusions • We created simulation of affect so natural that young women could not discern dating a robot from a man • Important for: • Understanding human affective communication • Developing communication technologies • Developing emotionally human-like robots Rotterdam, Februari 4th 2013 ETMAAL 2013 10
- 11. Interactive Stories (Serious) Games Rotterdam, Februari 4th 2013 ETMAAL 2013 11
- 12. Virtual Coach Rotterdam, Februari 4th 2013 ETMAAL 2013 12
- 13. Companion robots Rotterdam, Februari 4th 2013 ETMAAL 2013
- 14. Rotterdam, Februari 4th 2013 ETMAAL 2013 14
- 15. House robots Rotterdam, Februari 4th 2013 ETMAAL 2013 15
- 16. Caredroids: Humanoid Care Robots Rotterdam, Februari 4th 2013 ETMAAL 2013 16
- 17. Work in progress: - Add moral reasoning - Add model of autonomy - Build emotionally intelligent robots Morals Necessary, because: • Robots become more autonomous • Robots are already making moral decisions • Military Robots Moral dilemmas in our caredroids: • Coaching vs Manipulation • Privacy Rotterdam, Februari 4th 2013 ETMAAL 2013
- 18. Questions? Matthijs Pontier m.a.pontier@vu.nl @Matthijs85 Rotterdam, Februari 4th 2013 ETMAAL 2013
Editor's Notes
- Technology mimics humans: speech synthesizers, agents in virtual worlds Tamagotchi, Speaking to your car / person on television screen Treat computer that compliments you differently, hit computer if it frustrates you Cyberball game feel excluded even when told that computer was scripted to do so, same as if it was a human Daily Lives: AIBO, Paro, pets, nurses, tour guides, teachers, personal companions
- Silicon Coppelia, based on how humans affectively perceive each other and communicate
- Theory about humans in computational model Form perception of user. Compare with goals Emotions emerge Make decision / Take action based on emotional and rational influences Regulate emotions if necessary
- Turing Test: CMC vs HCI More elaborated, because measure on several appraisal dimensions Yes/no problematic, because if Tom not human-like on only one aspect, everyone says no
- Robot (Silicon Coppelia) vs Human Multiple Choice & Emotions
- Cognitive structure How variables are related (as in Silicon Coppelia)
- Communication technologies: helping autistic patients with recognizing emotions
- No fixed script Characters make decisions based on model
- Coach assists with physical exercise Acts human-like and supportive. Can use sensors for doing so
- Paro improves well-being of people with dementia Project model in people (ToM) to predict reactions on behavior for decision making
- Recognize what patient wants by projecting model in humans
- Can be a combination of four functionalities mentioned before, but we mainly focus on: Care broker Companion Personal coach
- Drones that are shooting on people Care robots or companion robots that monitor behavior of ‘client’