Presentation at Seminar on Artificial Intelligence and Law (15/03/2018) at the Norwegian Research Center for Computers and Law (NRCCL), University of Oslo
Artificial Intelligence and Law - A Primer Daniel Katz
Artificial Intelligence in Law (and beyond) including Machine Learning as a Service, Quantitative Legal Prediction / Legal Analytics, Experts + Crowds + Algorithms
An examination of the legal and ethical issues that the use of Artificial Intelligence products and services presents to lawyers including by reference to the American Bar Association's Model Rules of Professional Conduct.
Artificial Intelligence applications are transforming the practices of law. Opportunities abound for all participants in legal practices. Those that learn and understand will be on the leading edge of this transformation
This presentation looks at how AI works, how it is being used presently in Education and then outline some concerns about how AI might be used in education in the future.
I argue that AI has a much greater part to play in Education – particularly in making education more widely available in the developing world and in reducing the cost of education.
The talk then moves on to discuss general ethical concerns about how AI is being used in society, looking at the issue of how we program autonomous vehicles as a case in point. I then outline five areas of concern about the use (and potential abuse) of AI in education arguing that we need to have a much more informed debate before things go too far. With this in mind, I close with some suggestions for courses and reading that might help colleagues to become better informed about the subject.
Artificial Intelligence and Law - A Primer Daniel Katz
Artificial Intelligence in Law (and beyond) including Machine Learning as a Service, Quantitative Legal Prediction / Legal Analytics, Experts + Crowds + Algorithms
An examination of the legal and ethical issues that the use of Artificial Intelligence products and services presents to lawyers including by reference to the American Bar Association's Model Rules of Professional Conduct.
Artificial Intelligence applications are transforming the practices of law. Opportunities abound for all participants in legal practices. Those that learn and understand will be on the leading edge of this transformation
This presentation looks at how AI works, how it is being used presently in Education and then outline some concerns about how AI might be used in education in the future.
I argue that AI has a much greater part to play in Education – particularly in making education more widely available in the developing world and in reducing the cost of education.
The talk then moves on to discuss general ethical concerns about how AI is being used in society, looking at the issue of how we program autonomous vehicles as a case in point. I then outline five areas of concern about the use (and potential abuse) of AI in education arguing that we need to have a much more informed debate before things go too far. With this in mind, I close with some suggestions for courses and reading that might help colleagues to become better informed about the subject.
What really is Artificial Intelligence about? Harmony Kwawu
AI systems are growing. But what is AI, where did the idea behind it come from, what is intelligence, how does expert level intelligence work, and perhaps most importantly, would AI systems eventually make human beings redundant?
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...Edureka!
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This tutorial on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful. This tutorial covers the following topics:
1. AI as a threat
2. What is AI?
3. History of AI
4. Machine Learning & Deep Learning examples
5. Dependency on AI
6.Applications of AI
7. AI Course at Edureka - https://goo.gl/VWNeAu
For more information, please write back to us at sales@edureka.co
Call us at IN: 9606058406 / US: 18338555775
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
How do we protect privacy of users when building large-scale AI based systems? How do we develop machine learned models and systems taking fairness, accountability, and transparency into account? With the ongoing explosive growth of AI/ML models and systems, these are some of the ethical, legal, and technical challenges encountered by researchers and practitioners alike. In this talk, we will first motivate the need for adopting a "fairness and privacy by design" approach when developing AI/ML models and systems for different consumer and enterprise applications. We will then focus on the application of fairness-aware machine learning and privacy-preserving data mining techniques in practice, by presenting case studies spanning different LinkedIn applications (such as fairness-aware talent search ranking, privacy-preserving analytics, and LinkedIn Salary privacy & security design), and conclude with the key takeaways and open challenges.
Artificial Intelligence - intersection with compliance. How AI principles work with compliance principles around data protection. AI and Compliance. AI - SYSC 13.7 - FCA Compliance. AI and regulation. AI and FCA regulation. AI and ICO regulation.
Covers the basic concepts of copyright law and trademark law with an emphasis on the ways in which they have been adapted to and applied in cyberspace. Also coveres some important considerations in selecting and registering domain names, as well as some basic approaches to fighting predatory and unfair domain name registration by competitors.
AI continues to expand into different areas like healthcare, agriculture, scientific research and auditing.
AI is still only touching the surface when it comes to its application, especially if AI can work with time-series data.
Intellectual Property v. Competition Law Policy in IndiaMehek Kapoor
1.Emerging Jurisprudence
2.Examining the Relationship Between IP & Competition Policy
3.Regulation of IP Related Competition Issues:
3.1. Abuse of Dominant Position
3.2. Refusal to License
3.3. Excessive Pricing
3.4. Tying Arrangements
4.Mechanisms to Control IP Abuse
4.1. Parallel Imports
4.2. Compulsory Licensing
5.Conclusion & Suggestions
HUMAN RIGHTS IN THE AGE OF ARTIFICIAL INTELLIGENCE. This report is a product of Access Now. We thank lead author Lindsey Andersen for her
significant contributions. If you have questions about this report or you would like more information, you can contact info@accessnow.org.
What really is Artificial Intelligence about? Harmony Kwawu
AI systems are growing. But what is AI, where did the idea behind it come from, what is intelligence, how does expert level intelligence work, and perhaps most importantly, would AI systems eventually make human beings redundant?
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...Edureka!
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This tutorial on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful. This tutorial covers the following topics:
1. AI as a threat
2. What is AI?
3. History of AI
4. Machine Learning & Deep Learning examples
5. Dependency on AI
6.Applications of AI
7. AI Course at Edureka - https://goo.gl/VWNeAu
For more information, please write back to us at sales@edureka.co
Call us at IN: 9606058406 / US: 18338555775
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
How do we protect privacy of users when building large-scale AI based systems? How do we develop machine learned models and systems taking fairness, accountability, and transparency into account? With the ongoing explosive growth of AI/ML models and systems, these are some of the ethical, legal, and technical challenges encountered by researchers and practitioners alike. In this talk, we will first motivate the need for adopting a "fairness and privacy by design" approach when developing AI/ML models and systems for different consumer and enterprise applications. We will then focus on the application of fairness-aware machine learning and privacy-preserving data mining techniques in practice, by presenting case studies spanning different LinkedIn applications (such as fairness-aware talent search ranking, privacy-preserving analytics, and LinkedIn Salary privacy & security design), and conclude with the key takeaways and open challenges.
Artificial Intelligence - intersection with compliance. How AI principles work with compliance principles around data protection. AI and Compliance. AI - SYSC 13.7 - FCA Compliance. AI and regulation. AI and FCA regulation. AI and ICO regulation.
Covers the basic concepts of copyright law and trademark law with an emphasis on the ways in which they have been adapted to and applied in cyberspace. Also coveres some important considerations in selecting and registering domain names, as well as some basic approaches to fighting predatory and unfair domain name registration by competitors.
AI continues to expand into different areas like healthcare, agriculture, scientific research and auditing.
AI is still only touching the surface when it comes to its application, especially if AI can work with time-series data.
Intellectual Property v. Competition Law Policy in IndiaMehek Kapoor
1.Emerging Jurisprudence
2.Examining the Relationship Between IP & Competition Policy
3.Regulation of IP Related Competition Issues:
3.1. Abuse of Dominant Position
3.2. Refusal to License
3.3. Excessive Pricing
3.4. Tying Arrangements
4.Mechanisms to Control IP Abuse
4.1. Parallel Imports
4.2. Compulsory Licensing
5.Conclusion & Suggestions
HUMAN RIGHTS IN THE AGE OF ARTIFICIAL INTELLIGENCE. This report is a product of Access Now. We thank lead author Lindsey Andersen for her
significant contributions. If you have questions about this report or you would like more information, you can contact info@accessnow.org.
Nicolas Petit 27 september 18 - Hard Questions of Law and AINicolas Petit
This presentation discusses the hard legal questions raised by the research, development and implementation of Articificial Intelligence technologies. It discusses ethics, ex post v ex ante regulation, data biases, and the legal framework for various categories social harms.
Artificial intelligence, Technological Singularity & the LawFlorian Ducommun
This presentation was given at the Empowerment Summit and is about the current of regulation with respect to Articifical Intelligence (AI) and contains some prospective insights about the elements that AI regulation should take into account
Leaving the European Safe Harbor... sailing towards algorithmic content regul...LawScienceTech
Talk on 19.3.2019 at the University of Oslo on the EU's push for algorithmic content regulation related to: copyright, all forms of illegal content, and terrorist content.
Law, Science & Technology: Copyright & related rights (1 of 2)
- History & developments
- Legal sources
- Copyright harmonization
- Subject matter
- Concept of originality
- Exhaustion + case study
Slide 5: Push and pull relation between technology and copyright
Slide 6: 1450 Invention of printing press
Slide 8: Statute of Ann (1710)
Slide 12: Copyright US Constitution (1790)
Slide 13: The Pirate Publisher
Slide 15: 20th century, cassette, video tape, CDs, Napster, The Pirate Bay, Popcorn Time
Slide 22: The battle of copyright (free culture, corporate capitalism, public domain)
Slide 23: Legal sources (sauces)
Slide 25: Berne convention (1886)
Slide 28: Three step test
Slide 29: Universal Copyright Convention (1952)
Slide 30: Rome convention (1961)
Slide 32: TRIPS - Agreement on Trade-Related Aspects of Intellectual Property Rights (1994)
Slide 35: WIPO Internet Treaties (1996)
Slide 36: EU Copyright Law
Slide 39: Road to harmonization (Regulations, Directives, CJEU practice...)
(...)
Digital Copyright, Digital Agenda by EU Commission, Digital Single Market, Originality, CRM Directive, InfoSoc Directive, Directive 2001/29, Directive 2014/26/EU, UsedSoft, Painer, Football Dataco, SAS Institute, Google Adwords, Svensson, Links and copyright, Caching and copyright, ...
Military Commissions details LtCol Thomas Jasper as Detailed Defense CounselThomas (Tom) Jasper
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NATURE, ORIGIN AND DEVELOPMENT OF INTERNATIONAL LAW.pptxanvithaav
These slides helps the student of international law to understand what is the nature of international law? and how international law was originated and developed?.
The slides was well structured along with the highlighted points for better understanding .
Introducing New Government Regulation on Toll Road.pdfAHRP Law Firm
For nearly two decades, Government Regulation Number 15 of 2005 on Toll Roads ("GR No. 15/2005") has served as the cornerstone of toll road legislation. However, with the emergence of various new developments and legal requirements, the Government has enacted Government Regulation Number 23 of 2024 on Toll Roads to replace GR No. 15/2005. This new regulation introduces several provisions impacting toll business entities and toll road users. Find out more out insights about this topic in our Legal Brief publication.
A "File Trademark" is a legal term referring to the registration of a unique symbol, logo, or name used to identify and distinguish products or services. This process provides legal protection, granting exclusive rights to the trademark owner, and helps prevent unauthorized use by competitors.
Visit Now: https://www.tumblr.com/trademark-quick/751620857551634432/ensure-legal-protection-file-your-trademark-with?source=share
ASHWINI KUMAR UPADHYAY v/s Union of India.pptxshweeta209
transfer of the P.I.L filed by lawyer Ashwini Kumar Upadhyay in Delhi High Court to Supreme Court.
on the issue of UNIFORM MARRIAGE AGE of men and women.
PRECEDENT AS A SOURCE OF LAW (SAIF JAVED).pptxOmGod1
Precedent, or stare decisis, is a cornerstone of common law systems where past judicial decisions guide future cases, ensuring consistency and predictability in the legal system. Binding precedents from higher courts must be followed by lower courts, while persuasive precedents may influence but are not obligatory. This principle promotes fairness and efficiency, allowing for the evolution of the law as higher courts can overrule outdated decisions. Despite criticisms of rigidity and complexity, precedent ensures similar cases are treated alike, balancing stability with flexibility in judicial decision-making.
How to Obtain Permanent Residency in the NetherlandsBridgeWest.eu
You can rely on our assistance if you are ready to apply for permanent residency. Find out more at: https://immigration-netherlands.com/obtain-a-permanent-residence-permit-in-the-netherlands/.
WINDING UP of COMPANY, Modes of DissolutionKHURRAMWALI
Winding up, also known as liquidation, refers to the legal and financial process of dissolving a company. It involves ceasing operations, selling assets, settling debts, and ultimately removing the company from the official business registry.
Here's a breakdown of the key aspects of winding up:
Reasons for Winding Up:
Insolvency: This is the most common reason, where the company cannot pay its debts. Creditors may initiate a compulsory winding up to recover their dues.
Voluntary Closure: The owners may decide to close the company due to reasons like reaching business goals, facing losses, or merging with another company.
Deadlock: If shareholders or directors cannot agree on how to run the company, a court may order a winding up.
Types of Winding Up:
Voluntary Winding Up: This is initiated by the company's shareholders through a resolution passed by a majority vote. There are two main types:
Members' Voluntary Winding Up: The company is solvent (has enough assets to pay off its debts) and shareholders will receive any remaining assets after debts are settled.
Creditors' Voluntary Winding Up: The company is insolvent and creditors will be prioritized in receiving payment from the sale of assets.
Compulsory Winding Up: This is initiated by a court order, typically at the request of creditors, government agencies, or even by the company itself if it's insolvent.
Process of Winding Up:
Appointment of Liquidator: A qualified professional is appointed to oversee the winding-up process. They are responsible for selling assets, paying off debts, and distributing any remaining funds.
Cease Trading: The company stops its regular business operations.
Notification of Creditors: Creditors are informed about the winding up and invited to submit their claims.
Sale of Assets: The company's assets are sold to generate cash to pay off creditors.
Payment of Debts: Creditors are paid according to a set order of priority, with secured creditors receiving payment before unsecured creditors.
Distribution to Shareholders: If there are any remaining funds after all debts are settled, they are distributed to shareholders according to their ownership stake.
Dissolution: Once all claims are settled and distributions made, the company is officially dissolved and removed from the business register.
Impact of Winding Up:
Employees: Employees will likely lose their jobs during the winding-up process.
Creditors: Creditors may not recover their debts in full, especially if the company is insolvent.
Shareholders: Shareholders may not receive any payout if the company's debts exceed its assets.
Winding up is a complex legal and financial process that can have significant consequences for all parties involved. It's important to seek professional legal and financial advice when considering winding up a company.
RIGHTS OF VICTIM EDITED PRESENTATION(SAIF JAVED).pptxOmGod1
Victims of crime have a range of rights designed to ensure their protection, support, and participation in the justice system. These rights include the right to be treated with dignity and respect, the right to be informed about the progress of their case, and the right to be heard during legal proceedings. Victims are entitled to protection from intimidation and harm, access to support services such as counseling and medical care, and the right to restitution from the offender. Additionally, many jurisdictions provide victims with the right to participate in parole hearings and the right to privacy to protect their personal information from public disclosure. These rights aim to acknowledge the impact of crime on victims and to provide them with the necessary resources and involvement in the judicial process.
8. Actuated mechanism programmable in two or
more axes (4.3) with a degree of autonomy (2.2),
moving within its environment, to perform intended
tasks
ISO 8373:2012(en), Robotics and robotic devices
9. Hollywood og journalister (samt nogle professorer) har
en tendens til at tale meget mere om dette "mystiske"
med 'neurale netværk' og 'kunstig intelligens' og
lignende i stedet for at sige det, som det er: Der er tale
om avancerede algoritmer og statiske
beregningsmetoder.
Stephen Alstrup, Københavns Universitet, Professor at Datalogisk Institut (2017)
10. Buzzword bingo: Big data, (Applied) Machine
Learning, Deep Learning, Data Science, Neural
Networks, Pattern Recognition, Algorithms…
¯_(ツ)_/¯
31. A smart contract is a set of promises
Specified in digital form
Including protocols based on which
Contracting parties perform on these promises
Nick Szabo
32. The term smart contract can be so confusing. Really it
is just a self-executing piece of code on a distributed
ledger.
Primavera de Felippi, National Centre of Scientifc Research, Paris
49. 1) Research Goal: The goal of AI research should be to create
not undirected intelligence, but beneficial intelligence.
8) Judicial Transparency: Any involvement by an autonomous
system in judicial decision-making should provide a
satisfactory explanation auditable by a competent human
authority.
11) Human Values: AI systems should be designed and
operated so as to be compatible with ideals of human dignity,
rights, freedoms, and cultural diversity.
50. 1) A robot may not injure a human being or, through inaction,
allow a human being to come to harm;
2) A robot must obey the orders given it by human beings
except where such orders would conflict with the First Law;
3) A robot must protect its own existence as long as such
protection does not conflict with the First or Second Laws
A robot may not harm humanity, or, by inaction, allow humanity
to come to harm
Three Laws of Robotics, Isaac Asimov (1950)
57. ”The data subject should have the right not to be subject to a
decision, which may include a measure, evaluating personal
aspects relating to him or her which is based solely on
automated processing and which produces legal effects
concerning him or her or similarly significantly affects him or
her, such as automatic refusal of an online credit application or
e-recruiting practices without any human intervention.”
GDPR, recital 71, Section 4 Right to object and automated decision making (Art. 22)
62. creating a specific legal status for robots in the long run, so that
at least the most sophisticated autonomous robots could be
established as having the status of electronic persons
responsible for making good any damage they may cause, and
possibly applying electronic personality to cases where robots
make autonomous decisions or otherwise interact with third
parties independently;
Point 59 lit. f
76. Of junior lawyer work
will be done by
technology
* 2016 Boston Consulting Group & Bucerius Law School report
30-50%
77. Less time by use of
existing automation
technology
* 2016 Dana Remus & Frank S. Levy, Can Robots Be Lawyers? Computers, Lawyers, and the Practice of Law
13%
94. Centre for Information and Innovation Law (CIIR)
sebastian.felix.schwemer@jur.ku.dk
Conclusions
@schwemer
95. Credits
Creative commons attribution
Hieroglyphic by Luke Anthony Firth (Noun Project)
Chain by ruliani (Noun Project)
Laptop by B. Agustín Amenábar Larraín (Noun Project)
Robot by Maxim Kulikov (Noun Project)
Pawn by Vallone Design (Noun Project)
Stopwatch by Veronika Krpciarova (Noun Project)
Lawyer by Miroslav Kurdov (Noun Project)
Lawyer 2 by Miroslav Kurdov (Noun Project)
Denmark by Chameleon Design (Noun Project)
Bitcoin by Adrien Coquet (Noun Project)
Another game of Go by Chad Miller (Flickr)
Vietnam War 1964 by manhhai (Flickr)