This document discusses the use of Hawk-Eye technology in tennis line judging and whether humans or machines can make more accurate judgments. It describes an experiment where a blind person pretends to be a tennis fan and discusses Hawk-Eye with a sighted tennis expert to test their knowledge. The expert expresses uncertainty around human ability to accurately judge ball flights within millimeters but acknowledges Hawk-Eye is still imperfect. A second blind respondent judges the interaction, finding inconsistencies that suggest the first was actually sighted.
This presentation give an introduction to Artificial Intelligence subjectiveness and history. The primary goal of the presentation is to provide a deep enough understanding of Artificial Narrow Intelligence and Artificial General Intelligence so that the people can appreciate the strengths or weaknesses of the AI. The presentation also includes a classification(the main domains of AI) and the most relevant examples from the past decades. In the second part it provides some statistics and future possible applications and forecasts.
Dan Faggella - TEDx Slides 2015 - Artificial intelligence and ConsciousnessDaniel Faggella
URL of the original TEDx Talk: https://www.youtube.com/watch?v=PjiZbMhqqTM
Notes from my 2015 TEDx presentation, titled: "We Should Wake Up Before The Machines Do," on the topic of artificial intelligence and consciousness.
Speaker: Daniel Faggella
Location: Southern New Hampshire University
This is a live presentation (turned into a deck) on how human's process information versus machines. The deck also looks to the future of AI and machine learning. Spoiler: it ends with a scene out of WestWorld Season 1 (love the show). A number of the slides are a summary of a few incredible TED talks. Credit to the authors of these talks and links to their presentations are included. Hope you find these slides fun and informative.
Artificial Intelligence or the Brainization of the EconomyWilly Braun
60 years ago, John McCarthy used for the first time the term “Artificial Intelligence”. What does it mean and how has it evolved since 1956?
This is what daphni tried to answer in this in-depth report about AI. We’ve interviewed some of the brightest minds in the field: Bruno Maisonnier (founder of Aldebaran robotics), Massimiliano Versaca (CEO Neurala), Alexandre Lebrun (co-founder of wit.ai), Luc Julia (VP Innovation Samsung).
By Paul Bazin and Pierre-Eric Leibovici
This presentation give an introduction to Artificial Intelligence subjectiveness and history. The primary goal of the presentation is to provide a deep enough understanding of Artificial Narrow Intelligence and Artificial General Intelligence so that the people can appreciate the strengths or weaknesses of the AI. The presentation also includes a classification(the main domains of AI) and the most relevant examples from the past decades. In the second part it provides some statistics and future possible applications and forecasts.
Dan Faggella - TEDx Slides 2015 - Artificial intelligence and ConsciousnessDaniel Faggella
URL of the original TEDx Talk: https://www.youtube.com/watch?v=PjiZbMhqqTM
Notes from my 2015 TEDx presentation, titled: "We Should Wake Up Before The Machines Do," on the topic of artificial intelligence and consciousness.
Speaker: Daniel Faggella
Location: Southern New Hampshire University
This is a live presentation (turned into a deck) on how human's process information versus machines. The deck also looks to the future of AI and machine learning. Spoiler: it ends with a scene out of WestWorld Season 1 (love the show). A number of the slides are a summary of a few incredible TED talks. Credit to the authors of these talks and links to their presentations are included. Hope you find these slides fun and informative.
Artificial Intelligence or the Brainization of the EconomyWilly Braun
60 years ago, John McCarthy used for the first time the term “Artificial Intelligence”. What does it mean and how has it evolved since 1956?
This is what daphni tried to answer in this in-depth report about AI. We’ve interviewed some of the brightest minds in the field: Bruno Maisonnier (founder of Aldebaran robotics), Massimiliano Versaca (CEO Neurala), Alexandre Lebrun (co-founder of wit.ai), Luc Julia (VP Innovation Samsung).
By Paul Bazin and Pierre-Eric Leibovici
Humanity will change more in the next 20 years than in the previous 300 years. What if …robots replaced the world’s workforce?
This is the presentation delivered by Glen Leonhard at London Business School's 2015 Global Leadership Summit.
What do you need to think about before bringing advanced technology into your community, library or organization? How do you introduce it to staff? Will they worry about being replaced or losing their jobs? And how do you get machines to operate at optimal efficiency? Machines need to learn to be effective, whether it’s Siri, Alexa, or Watson. And people have to adapt to the machines. Join us and learn more!
"AI is “our greatest existential threat…”
“I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish.”
“I think there is potentially a dangerous outcome there.” (referring to Google’s Deep Mind which he invested in to keep an eye on things)."
Elon Musk
My keynote address from the fifth Italian Information Architecture Summit, wherein I talk about what information architects do, why I consider myself one, and what the future may look like.
Will the Real Information Architect Please Stand Up?Gail Leija
There has been a lot of discussion over the years about what exactly information architecture is. These "Defining The Damned Thing (DTDT)" conversations have been primarily around the What, rather than the Who. But who are these people? Where do they come from? And why?
I am collecting IA "stories" and will be posting them in an extended deck soon. If you are an IA and want to share your story, please contact me at gail@gl-ue.com.
This presentation was part of the Refresh Events (http://www.refresh-events.ca/) speaker series in Toronto.
The Future of Humanity
Through our interaction with machines, we develop emotional, human expectations of them. Alexa, for example, comes alive when we speak with it. AI is and will be a representation of its cultural context, the values and ethics we apply to one another as humans.
This machinery is eerily familiar as it mirrors us, and eventually becomes even smarter than us mere mortals. We’re programming its advantages based on how we see ourselves and the world around us, and we’re doing this at an incredible pace. This shift is pervading culture from our perceptions of beauty and aesthetics to how we interact with one another – and our AI.
Infused with technology, we’re asking: what does it means to be human?
Our report examines:
• The evolution of our empathy from humans to animals and robots
• How we treat AI in its infancy like we do a child, allowing it space to grow
• The spectrum of our emotional comfort in a world embracing AI
• The cultural contexts fueling AI biases, such as gender stereotypes, that drive the direction of AI
• How we place an innate trust in machines, more than we do one another
Methodology
For this report, sparks & honey conducted US-focused research on the future of AI. Together with Heartbeat AI Technologies, we examined the emotional sentiment (feeling and emotions) around artificial intelligence in a Heartbeat AI Pulse Survey of 150 people in the US. Tapping into our Influencer Advisory Board and proprietary cultural intelligence system, we combed through thousands of signals to build a vision of the future of AI. We also interviewed leading experts in the field of artificial intelligence.
Konica Minolta - Artificial Intelligence White PaperEyal Benedek
The evolution of artificial intelligence in the workplace
Since the first appearance of the words “artificial intelligence” more than 60 years ago, our imaginations have been sparked. Imagine creating computers that simulate human intelligence.
AI has the potential to profoundly influence our lives, perhaps to the point when our world can be better understood and even predicted. In workplaces we can develop systems through which AI may evolve. And Konica Minolta is progressing with the concept of intelligent hubs which will provide businesses with insight, support and greater collaboration.
By combining our core technologies with transformative solutions in the digital workplace, we’re evolving to become a problem-solving digital company creating new value for people and society.
In this second session of the Elements of AI Luxembourg series of webinars, we have the pleasure to have Dr. Sana Nouzri as a guest speaker. More information, and a recording of the session, can be found on our reddit page:
eofai.lu/reddit
A presentation I created for class that tries to explain the different approaches in developing Artificial Intelligence through explanation and examples.
Open Access Testbed Facilities Available to Software Companies in EuropeTEST Huddle
Software Managers requiring access to infrastructure to test out and validate their new products in the cloud, mobile, wireless, and wired network space will be interested to hear about the various testbeds and their unique capabilities. Come and hear about the opportunities:
• Testing new software at scale
• Open Access (= Free access) - up to hundreds of servers to conduct scaling experiments
• Some funding available to support tests
• Example software test process:
o write script to deploy 50 servers
o write script to simulate events from 1 million users.
o deploy software under test
o measure key performance indicators over 24 hour period
o upgrade and reiterate
Martin Pol - Questioning the Evolution of Testing: What's Next? - EuroSTAR 2013TEST Huddle
EuroSTAR Software Testing Conference 2013 presentation on Questioning the Evolution of Testing: What's Next? by Martin Pol.
See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
Humanity will change more in the next 20 years than in the previous 300 years. What if …robots replaced the world’s workforce?
This is the presentation delivered by Glen Leonhard at London Business School's 2015 Global Leadership Summit.
What do you need to think about before bringing advanced technology into your community, library or organization? How do you introduce it to staff? Will they worry about being replaced or losing their jobs? And how do you get machines to operate at optimal efficiency? Machines need to learn to be effective, whether it’s Siri, Alexa, or Watson. And people have to adapt to the machines. Join us and learn more!
"AI is “our greatest existential threat…”
“I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish.”
“I think there is potentially a dangerous outcome there.” (referring to Google’s Deep Mind which he invested in to keep an eye on things)."
Elon Musk
My keynote address from the fifth Italian Information Architecture Summit, wherein I talk about what information architects do, why I consider myself one, and what the future may look like.
Will the Real Information Architect Please Stand Up?Gail Leija
There has been a lot of discussion over the years about what exactly information architecture is. These "Defining The Damned Thing (DTDT)" conversations have been primarily around the What, rather than the Who. But who are these people? Where do they come from? And why?
I am collecting IA "stories" and will be posting them in an extended deck soon. If you are an IA and want to share your story, please contact me at gail@gl-ue.com.
This presentation was part of the Refresh Events (http://www.refresh-events.ca/) speaker series in Toronto.
The Future of Humanity
Through our interaction with machines, we develop emotional, human expectations of them. Alexa, for example, comes alive when we speak with it. AI is and will be a representation of its cultural context, the values and ethics we apply to one another as humans.
This machinery is eerily familiar as it mirrors us, and eventually becomes even smarter than us mere mortals. We’re programming its advantages based on how we see ourselves and the world around us, and we’re doing this at an incredible pace. This shift is pervading culture from our perceptions of beauty and aesthetics to how we interact with one another – and our AI.
Infused with technology, we’re asking: what does it means to be human?
Our report examines:
• The evolution of our empathy from humans to animals and robots
• How we treat AI in its infancy like we do a child, allowing it space to grow
• The spectrum of our emotional comfort in a world embracing AI
• The cultural contexts fueling AI biases, such as gender stereotypes, that drive the direction of AI
• How we place an innate trust in machines, more than we do one another
Methodology
For this report, sparks & honey conducted US-focused research on the future of AI. Together with Heartbeat AI Technologies, we examined the emotional sentiment (feeling and emotions) around artificial intelligence in a Heartbeat AI Pulse Survey of 150 people in the US. Tapping into our Influencer Advisory Board and proprietary cultural intelligence system, we combed through thousands of signals to build a vision of the future of AI. We also interviewed leading experts in the field of artificial intelligence.
Konica Minolta - Artificial Intelligence White PaperEyal Benedek
The evolution of artificial intelligence in the workplace
Since the first appearance of the words “artificial intelligence” more than 60 years ago, our imaginations have been sparked. Imagine creating computers that simulate human intelligence.
AI has the potential to profoundly influence our lives, perhaps to the point when our world can be better understood and even predicted. In workplaces we can develop systems through which AI may evolve. And Konica Minolta is progressing with the concept of intelligent hubs which will provide businesses with insight, support and greater collaboration.
By combining our core technologies with transformative solutions in the digital workplace, we’re evolving to become a problem-solving digital company creating new value for people and society.
In this second session of the Elements of AI Luxembourg series of webinars, we have the pleasure to have Dr. Sana Nouzri as a guest speaker. More information, and a recording of the session, can be found on our reddit page:
eofai.lu/reddit
A presentation I created for class that tries to explain the different approaches in developing Artificial Intelligence through explanation and examples.
Open Access Testbed Facilities Available to Software Companies in EuropeTEST Huddle
Software Managers requiring access to infrastructure to test out and validate their new products in the cloud, mobile, wireless, and wired network space will be interested to hear about the various testbeds and their unique capabilities. Come and hear about the opportunities:
• Testing new software at scale
• Open Access (= Free access) - up to hundreds of servers to conduct scaling experiments
• Some funding available to support tests
• Example software test process:
o write script to deploy 50 servers
o write script to simulate events from 1 million users.
o deploy software under test
o measure key performance indicators over 24 hour period
o upgrade and reiterate
Martin Pol - Questioning the Evolution of Testing: What's Next? - EuroSTAR 2013TEST Huddle
EuroSTAR Software Testing Conference 2013 presentation on Questioning the Evolution of Testing: What's Next? by Martin Pol.
See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
Fiona Ring Ostensvig - eResept Implementing Electronic Prescription in Norway...TEST Huddle
EuroSTAR Software Testing Conference 2010 presentation on eResept Implementing Electronic Prescription in Norway by Fiona Ring Ostensvig . See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
The Mobile Tester - Your place in the team with Stephen Janaway [Webinar]TEST Huddle
Stephen Janaway of the NET-A-PORTER GROUP gave this presentation on mobile testing as part of the TEST Huddle Mobile Testing Webinar Series.
Being a tester on a mobile team is not easy. As well as a multitude of devices and OS versions to test, you find yourself being a part of extremely fast paced projects, where the need to ship an application is often seen as most important. Frequently you are the only tester in the team. In this webinar, Stephen explains some strategies to help you adapt and excel in the challenging world of mobile development.
Key Takeaways:
Why mobile development is different
The testers place in a mobile team
How you can adapt and excel
Watch the recording of the webinar here: http://testhuddle.com/resource/the-mobile-tester-your-place-in-the-team/
Antony Marcano - Putting Tradition to the Test - EuroSTAR 2010TEST Huddle
EuroSTAR Software Testing Conference 2010 presentation on Putting Tradition to the Test by Antony Marcano. See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
Darius Silingas - From Model-Driven Testing - EuroSTAR 2010TEST Huddle
EuroSTAR Software Testing Conference 2010 presentation on From Model-Driven Testing by Darius Silingas. See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
Keith Klain - Creating Dissonance: Overcoming Organizational Bias Towards The...TEST Huddle
EuroSTAR Software Testing Conference 2013 presentation on Creating Dissonance: Overcoming Organizational Bias Towards The Value of Software Testing by Keith Klain. See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
Stuart Reid - When Passion Obscures the Facts:The Case For Evidence-Based Te...TEST Huddle
EuroSTAR Software Testing Conference 2010 presentation on When Passion Obscures the Facts:The Case For Evidence-Based Testing by Stuart Reid. See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
How to get what you really want from Testing' with Michael BoltonTEST Huddle
EuroSTAR Conferences, with the support of ISA Software Skillnet, Irish Software Innovation Network and SoftTest, were delighted to bring you a half-day software testing masterclass with Michael Bolton
In this session, Michael Bolton (who has extensive experience as a tester, as a programmer, and as a project manager) explained the role of skilled software testers, and why you might not want to think of testing as "quality assurance".
He present ideas about the relationship between management and testers, and about the service that testers really provide: making quality assurance possible by lighting the way of the project. For those of you who who attended this event, we really hope it was of use to you in your testing careers.
www.eurostarconferences.com
The webinar series takes place from September 12th – 16th and features James and Jon Bach (on testing roles in technical teams), Paul Gerrard (on New Model Testing), Simon Stewart (on the NEW Selenium 3.0), Huib Schoots (on Test Strategy Using Heuristics) and Pini Reznik (on Testing Cloud Native Applications)
Jackie McDougall - Testing on Trial - EuroSTAR 2013TEST Huddle
EuroSTAR Software Testing Conference 2013 presentation on Testing on Trial by Jackie McDougall.
See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
Ruud Teunissen - Accelerate Testing and Advance Your Career With EuroSTAR 2010TEST Huddle
EuroSTAR Software Testing Conference 2010 presentation on Accelerate Testing and Advance Your Career With EuroSTAR by Ruud Teunissen. See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
Bob Galen - Differentiating Ourselves & Demonstrating Value - EuroSTAR 2010TEST Huddle
EuroSTAR Software Testing Conference 2010 presentation on "Moving Beyond The Status Quo – Differentiating Ourselves and Demonstrating Value" by Bob Galen. See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
Fiona Charles - Get in There And Argue - EuroSTAR 2013TEST Huddle
EuroSTAR Software Testing Conference 2013 presentation on Get in There And Argue by Fiona Charles. See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
Marc van 't Veer - Testing The API Behind a Mobile App - EuroSTAR 2012TEST Huddle
EuroSTAR Software Testing Conference 2012 presentation on Testing the API Behind a Moblie App by Marc van 't Veer. See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
Mobile App Test Attacks to Efficiently Explore SoftwareTEST Huddle
In the tradition of James Whittaker’s book series How to Break … Software, Jon Hagar applies the testing “attack” concept to the domain of mobile app software. Jon defines the sub-domain of mobile software and examines industry product failure caused by defects in that software. Next, Jon summarizes a set of attacks against mobile software based on these common modes of failure that testers can direct against their own app software to quickly find bugs. Specific attack methods identified include developer based cases, computation and control structures for batteries and sensor hubs, hardware-software interfaces, and communications. This session is based on the book: “Software Test Attacks to Break Mobile and Embedded Devices” CRC press, 2013
Key Takeaways:
- Breaking Mobile App Software to find bugs
- Embedded risk-based exploratory testing concepts
- Attack based testing specific to mobile devices
In this webinar Professor Andy Stanford-Clark will introduce the Internet of Things, with reference to his work on home automation systems, including mousetraps that text him when they catch a mouse, measures he is taking to change energy use behaviour using ambient information systems, through to the Isle of Wight ferries which tweet when they arrive at and leave the ferry ports.
Find out more - http://testhuddle.com/resource/the-internet-of-things/
Michael Kelly - Lessons Learned from Software Testing at Startups - EuroSTAR ...TEST Huddle
EuroSTAR Software Testing Conference 2012 presentation on Lessons Learned from Software Testing at Startups by Michael Kelly. See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
Artificial intelligence uses in productive systems and impacts on the world...Fernando Alcoforado
This essay aims to present the scientific and technological advances of artificial intelligence, their uses in productive systems and their impacts in the world of work.
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
This technology is no longer a matter of science fiction. Instead, we see artificial intelligence in every part of our lives. Smart assistants are on our phones and speakers, helping us find information and complete everyday tasks. At work, chatbots are affiliated with the Customer Support Team, with estimates that they will be responsible for 85% of customer service by next year.
Author Francesca Rossi EN Policy Department C Citizens.docxrock73
Author: Francesca Rossi EN
Policy Department C: Citizens' Rights and Constitutional Affairs
European Parliament
PE 571.380
Artificial Intelligence: Potential Benefits and
Ethical Considerations
KEY FINDINGS
The ability of AI systems to transform vast amounts of complex, ambiguous
information into insight has the potential to reveal long-held secrets and help solve
some of the world’s most enduring problems.
However, like all powerful technologies, great care must be taken in its development
and deployment. To reap the societal benefits of AI systems, we will first need to trust
them and make sure that they follow the same ethical principles, moral values,
professional codes, and social norms that we humans would follow in the same
scenario. Research and educational efforts, as well as carefully designed regulations,
must be put in place to achieve this goal.
International Business Machines Corporation (IBM) is actively engaged, both internally
as well as with its collaborators and competitors, in global discussions about how to
make AI ethical and as beneficial as possible for people as society.
1. WHAT IS ARTIFICIAL INTELLIGENCE?
The term “artificial intelligence” (AI) has been mentioned for the first time in 1956 by John
McCarthy during a conference where several scientists decided to meet to see if machines could
be made intelligent. Since then, AI is usually defined as the capability of a computer
program to perform tasks or reasoning processes that we usually associate to intelligence
in a human being. Often it has to do with the ability to make a good decision even when there
is uncertainty or vagueness, or too much information to handle.
As an example, playing chess well, or some complex card games, is believed to need some
form of intelligence in a human being, as well as choosing the best diagnosis in a difficult
medical case, or creating something new, such as a mathematical theorem or even some form
of art, or even driving a car in the middle of a crowded city.
It is clear that this is a strange definition, because it depends on what we consider being
intelligent in the behaviour of a human being at a certain point in time. If our belief about
human intelligence changes, and we don't believe any longer that a certain task requires
intelligence, then a computer program performing that task is no longer part of AI, it becomes
just another boring computer program.
The term “artificial intelligence” brings to mind to the notion of replacing human intelligence
with something synthetic. At IBM, we prefer the term “augmented intelligence”. This means
that we aim to build systems that enhance and scale human expertise and skills rather than
replacing them. We therefore focus on practical applications of discrete AI capabilities that
assist people in performing well-defined tasks, by exploiting a wide range of AI-based services.
We also use th ...
Define artificial intelligence.
Mention the four approaches to AI.
What are the capabilities of AI that have to process with computer?
Mention the foundations of AI?
Mention the crude comparison of the raw computational resources available to computer and human brain.
Briefly explain the history of AI.
What are rational action and intelligent agent?
CAPTCHA stands for Completely Automated
Public Turing Test to tell computers and Humans Apart.
In order to validate the digital transaction, using the CAPTCHA system the user is presented with a distorted word typically placed on top of a distorted background. The user must type the word into a field in order to complete the process.
Why We Need Diversity in Testing- AccentureTEST Huddle
In this webinar Rasa (Testing capability lead for Denmark) and Matthias (EALA Testing capability lead) will share some of their own experiences why diversity matters, give insights into how Accenture as a global firm is promoting diversity and how we are in the process of changing our attitudes and processes to make all of this sustainable
Keys to continuous testing for faster delivery euro star webinar TEST Huddle
Your business needs to deliver faster. To accommodate, Development needs to introduce fewer changes but in a much more frequent cadence. This creates a challenge for test teams to keep up with the rapid pace of change without compromising on quality. Automation is paramount to the success or failure of Continuous Delivery, and Continuous Testing enables early and frequent quality feedback throughout the CI/CD pipeline.
In this webinar, Eran & Ayal will explore how to implement Continuous Testing to ensure high quality releases in a Continuous Delivery environment; including what to test and when to automate new functionality in order to optimize your efforts.
In this webinar Carsten will explore the role of the tester in a Scrum team. He will examine where the tester play an important role in Scrum and how you can contribute to a teams performance.
Leveraging Visual Testing with Your Functional TestsTEST Huddle
Designing and implementing (or selecting) the right automation strategy, for functional testing, with visual testing, can help your project with greater test coverage while improving test scalability
This talk suggests how we might make sense of the tools landscape of the near future, where the pressure to modernise processes and automate is greatest, and what a new test process supported by tools might look like.
Takeaways:
- We need to take machine learning in testing seriously, but it won’t be taking our jobs just yet
- We don’t need more test automation tools; today we need tools that capture tester knowledge
- Tools that that learn and think can’t work for testers until we solve the knowledge capture challenge.
View On-Demand Webinar: https://youtu.be/EzyUdJFuzlE
In this session, we’ll write tests and code for solving a real Star Wars problem. And we’ll discuss what we’re doing, refine our specs, as well as see what changes in the design tell us.
View On-Demand Webinar: https://huddle.eurostarsoftwaretesting.com/resource/test-management/tdd-rest-us/
Scaling Agile with LeSS (Large Scale Scrum)TEST Huddle
In this webinar, Elad will cover the principles that the #LeSS framework has to offer in order to enable bug organisations to become agile.
View webinar recording - https://huddle.eurostarsoftwaretesting.com/resource/agile-testing/scaling-agile-less-large-scale-scrum/
Creating Agile Test Strategies for Larger EnterprisesTEST Huddle
Having difficulty creating an agile test strategy for your company? Let Testing Excellence Award winner, Derk-Jan de Grood, show you how it’s done
View webinar recording here - http://huddle.eurostarsoftwaretesting.com/resource/agile-testing/creating-agile-test-strategies-larger-enterprises/
3 key takeaways
- Do you know the meaning of your organisation, system, product?
- Can you deliver the important risks right away?
- How can you communicate about the (process and product) risks your dealing with?
View Webinar recording: https://huddle.eurostarsoftwaretesting.com/resource/test-management/is-there-a-risk/
Growing a Company Test Community: Roles and Paths for TestersTEST Huddle
Over the past three years, our company’s test team has grown from three lonesome testers to a community of nine – with more planned. Since we don’t see testers as “click monkeys”, but as valuable and integrated project members who bring a specific skill set to the table, it’s important for us to choose testers well and to train them in various areas so that they can contribute, grow and see their own career path within testing.
To structure to our internal tester training program, we have been developing role descriptions, education paths and career options for our testers, which I’d like to share with you in this webinar.
View webinar - https://huddle.eurostarsoftwaretesting.com/resource/webinar/growing-company-test-community-roles-paths-testers/
It’s the same argument again and again. One side says “team members should all be able to do everything, and the programmers should do their testing and all testers should be writing code”. The other side says “No, that can’t possibly work – programmers don’t know how to test, they don’t have the right mindset”. And on and on it goes.
http://huddle.eurostarsoftwaretesting.com/resource/webinar/need-testers-agile-teams/
In this webinar, Dave Haeffner (Elemental Selenium, USA) discusses how to:
- Build an integrated feedback loop to automate test runs and find issues fast
- Setup your own infrastructure or connect to a cloud provider
-Dramatically improve test times with parallelization
https://huddle.eurostarsoftwaretesting.com/resource/webinar/use-selenium-successfully/
Practical Test Strategy Using HeuristicsTEST Huddle
Key Takeaways
- See what makes a good test strategy
- Learn how to make a thorough test strategy
- Identify what is the ‘Heuristic Test Strategy Model’ is
- Develop a solid test strategy that fits fast
- Discover how diversification can help you to create a test strategy
Key Takeaways:
- A diagramming method that helps discuss roles
- A one page analysis heuristic for roles
- Why roles matter on projects
https://huddle.eurostarsoftwaretesting.com/resource/people-skills/thinking-through-your-role/
Key Takeaways:
- What will this release contain
- What impact will it have on your test runs
- How can you preserve your existing investment in tests using the Selenium WebDriver APIs, and your even older RC tests
- Looking forward, when will the W3C spec be complete
- What can we expect from Selenium 4
https://huddle.eurostarsoftwaretesting.com/
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
5. Even cogs are complicated
I have discovered that there is a nice sociological question even about whether the cogs mesh
It happened after my group commissioned a piece of software
6. Whose problem?
Users
Developers
The firm demanded their money, threatening legal action.
AGILE!! SPRINTS!!
agile? sprints?
7. A new sociological problem
I could never have imagined something like this could happen.
The question of when a program is ‘working’ would make a great PhD project.
And, to be interesting, there would be no need to look further than who it is who says the cogs are working
The debuggers regress
8. The deeper problem
But there is deeper problem: does the machine do a good job?
This question is confounded by another:
Should a computer do what humans in the same place might do (only better) or should it do something different?
What is the proper relationship between machines and people?
9. HAL 2001
Dave ... I’m afraid I can’t let you do that
ASH Alien
10. Popular culture
We are surrounded by scare stories of computers coming to rule us and an easy anthropomorphism in fiction.
The differences between human and machines seem subtle and complicated.
12. Our attention is drawn away from fundamental but very simple aspects of the relationship that, once pointed out, can be seen in the familiar devices we use every day
And show us that humanoids are fantasy
13. Artificial intelligence
Humans are social
Foreseeable computers, science fiction aside, are not.
Thus, for the foreseeable future, computers will not be able to handle a social phenomenon like natural language in a human-like way
15. Turing Test and Imitation Game
COMPUTER
JUDGE
HUMAN
PARTICIPANT
Turing Test
MAN PRETENDS TO BE WOMAN
JUDGE?
WOMAN
Imitation Game
Unsurprisingly, people do not agree over whether computers can handle natural language. Consider the Turing Test
17. When will a computer pass the Turing Test?
An interview with Eric Schmidt, Executive Chairman, Google
August 14, 2013
“Many people in AI believe that we’re close to [a computer passing theTuring Test] within the next five years,” said Eric Schmidt, Executive Chairman, Google,speakingat The Aspen Institute onJuly 16, 2013.
Artificially Intelligent Game Bots Pass the Turing Test on Turing’s Centenary
Sept. 26, 2012 AUSTIN, Texas —
An artificially intelligent virtual gamer created by computer scientists at The University of Texas at Austin has won theBotPrizeby convincing a panel of judges that it was more human-like than half the humans it competed against.
KURZWEIL IS CONFIDENT MACHINES WILL PASS TURING TEST BY 2029
In 1972 experienced psychologists interviewed human paranoid schizophrenics and ‘PARRY’, a computer designed to generate typical paranoid text. 33 psychiatrists were shown transcripts of the conversations but could do no better than guesswork in identifying human and machine (48%). It became fashionable to claim that The Turing Test was too easy.
18. Arithmetic
But even arithmetic is embedded in the social:
Consider the following arithmetical series that appears to have a definitive continuation that is nothing to do with the social
2,4,6,8, …
19. But ‘reasonable’ continuations could be any number
"10" (2,4,6,8,10,…)
" 2 " (2,4,6,8,2,4,6,8,…)
" 8 " (2,4,6,8,8,4,6,2,2,4,6,8,…)
" 4 " (2,4,6,8,4,6,8,10,6,8,10,12,…)
" 6 " (2,4,6,8,6,8,10,12,10,12,14,18,…)
" 1 " (2,4,6,8,1,3,5,7,-1,1,3,5,…)
" 3 " (2,4,6,8,3,5,7,9,4,6,8,10,…)
" 5 " (2,4,6,8,5,7,9,11,...)
20. Or even
" Who "
2,4,6,8, Who do we appreciate?
21. Socialisation in the classroom
IQ Tests?
2010
One of the ways in which we develop our ‘collective tacit knowledge’
22. So how does any machine such as a pocket calculator work?
How can it be that there are machines without social understandings –without any tacit knowledge –that do scientific tasks that seem to depend on social understandings?
There are two answers
23. 1stanswer: I ‘repair’ my socially deficient calculator
My height is 69 inches
There are 2.54 centimeters
to the inch
How tall am I in centimetres?
Right or wrong?
‘Repair’ makes
ELIZA and PARRY successful
24. The ability to approximate
Is somewhere between a ubiquitous expertise and a specialist expertise
2007
25. 2ndanswer: I undertake ‘mimeomorphic actions’
Sometimes humans want act as though they were not social creatures. -- Sometimes we want to do things in the manner of asocial machines.
These things are called
Mimeomorphic actions
1998
26. Examples of mimeomorphic actions
Synchronised
Swimming
Marching
Saluting
Rapid repetition
I’m not a pheasant plucker
I’m a pheasant plucker’s son
And I’m only plucking pheasant
‘till the pheasant pluckers come
27. Mimeomorphic and Polimorphic actions
Mimeomorphic actionsare actions that can be reproduced merely be observing and repeating the externally visible behaviours associated with an action, even if that action is not understood.
A stranger or an artificial stranger (a machine) can mimic a mimeomorphic action
With polimorphic actionsthere is no easy mapping beween behaviour and action.
To reproduce a polimophic action the social embedding of the action must be understood.
28. Polimorphic and Mimeomorphic actions
Polimorphic actions: actions that can be, and often must be, `many-shaped’ and the shape of which varies according to the society (polis). Also the same behaviour can be different actions
For example, greeting (as opposed to saluting)
Hello Darling
30. What computers can do
Computers are very good at mimicking mimeomorphic actions. Mostly they are better than us at these things and we employ computers, and other machines, to do them for us where we can.
Polimorphic actions, however, are beyond he capacity of foreseeable computers. It is us who has to supply the surrounding penumbra of the polimorphic.
This is repair etc. Eg approximating is repair, making the spell-check decisions is repair
31. To save misunderstanding
The argument applies equally to learning machines, neural nets, etc.
They are just very complicated mimickers of mimeomorphic actions, they are not embedded in social life.
32. The nearest thing to socialised software are programs that continually learn from text on www
Hello Darling
To know how to do these things properly depends on collective tacit knowledge
33. Social prostheses
To put this another way, a computer, or other machine, is a social prosthesis.
It is something that fills the place of a missing part in a social setting.
But a prosthesis does not have to be identical to the original part
36. Understanding computers
Testing computers is seeing how they fit into life
This means understanding the boundary between the places where they mimic mimeomorphic actions (or exceed human capacity for executing mimeomorphic actions) and the polimorphic contribution of the humans that surround them
39. The importance of the boundary
Understanding the interface might well mean making a prosthesis that tries to do less rather than more and leaves more of the job to the humans
Eg early spell checkers tried to do too much –they tried to replace the word rather than indicate a problem and offer a choice
Same with early medical expert systems: advice systems are better
40. It seems to me
that computer testing means understanding the boundary between the mimeomorphic and the polimorphic and educating users and designers about how a good boundary can be accomplished without being too ambitious
To fulfil that role as well as possible, the sociology and philosophy will also have to be understood
41. For example
The way that polimorphic actions turn on the tacit knowledge of social life
1998
42. Periodic Table of Expertises
2007
How ‘interactional expertise’ can capture the tacit knowledge associated with practices and skills even if one cannot practice them oneself so that in designing software either oneself or ones ‘agent’ must possess it
1. UBIQUITOUS EXPERTISES 2. SPECIALIST UBIQUITOUS TACIT KNOWLEDGE SPECIALIST TACIT KNOWLEDGE EXPERTISES Beer-mat Knowledge Popular Understanding Primary Source Knowledge Interactional Expertise Contributory Expertise 3. META- EXTERNAL (Transmuted expertises) INTERNAL (Non-transmuted expertises) EXPERTISES Ubiquitous Discrimination Local Discrimination Technical Connoisseurship Downward Discrimination Referred Expertise
43. And which of
Relational tacit knowledge
Somatic tacit knowledge
Collective tacit knowledge
can be made explicit and coded and which cannot
2010
44. And how to use the Imitation Gameto learn about tacit knowledge
MASQUERADE
46. Interactional Expertise and Imitation Games
COMPUTER
JUDGE
HUMAN
PARTICIPANT
MAN PRETENDS TO BE WOMAN
JUDGE?
Should be a woman
WOMAN
HARRY COLLINS
PRETENDS TO BE GW PHYSICIST
JUDGE ALSO GW PHYSICIST
GW PHYSICIST
The blind
47. Q2) Is a spherical resonant mass detector equally sensitive to radiation from all over the sky?
A2)Yes, unlike cylindrical bar detectors which are
most sensitive to gravitational radiation coming from
a direction perpendicular to the long axis.
B2) Yes it is.
Q3) State if after a burst of gravitational waves pass by, a bar antenna continues to ring and
mirrors of an interferometer continue to oscillate from their mean positions? (only motion in the
relevant frequency range is important).
A3)Bars will continue to ring, but the mirrors in the
interferometer will not continue to oscillate.
B3) Bars continue to ring; the separation of
interferometer mirrors, however, follows the
pattern of the wave in real time.
Q5) A theorist tells you that she has come up with a theory in which a circular ring of particles
are displaced by GW so that the circular shape remains the same but the size oscillates about a
mean size. Would it be possible to measure this effect using a laser interferometer?
A5) Yes, but you should analyse the sum of the
strains in the two arms, rather than the difference.
You don't even need two arms to detect GWs,
provided you can measure the round-trip light travel
time along a single arm accurately enough to detect
small changes in its length.
B5) It depends on the direction of the source.
There will be no detectable signal if the source lies
anywhere on the plane which passes through the
center station and bisects the angle of the two arms.
Otherwise there will be a signal, maximised when
the source lies along one or other of the two arms.
Q6) Imagine the mirrors of an interferometer are equally but oppositely (electrically) charged.
Could the effect of a radio-wave on the interferometer be the same as a gravitational wave?
A6) In principle you could detect the passage of an
electromagnetic (EM) wave, but the effect is
different than for a GW. Unlike EM waves, GWs
produce quadrupolar deformations. A typical EM
wave would change the distance in only one arm
while a typical GW wave would change the distances
(in opposite ways) in both, so the differential signal
for the EM wave would be half that for a GW.
B6) Since gravitational waves change the shape of
spacetime and radio waves do not, the effect on an
interferometer of radio waves can only be to mimic
the effects of a gravitational wave, not reproduce
them. An EM wave could, however, produce noise
which could be mistaken for a GW under the
circumstances described.
48. mirrors of an interferometer continue to oscillate from their mean positions? (only motion in the
relevant frequency range is important).
A3)Bars will continue to ring, but the mirrors in the
interferometer will not continue to oscillate.
B3) Bars continue to ring; the separation of
interferometer mirrors, however, follows the
pattern of the wave in real time.
Q5) A theorist tells you that she has come up with a theory in which a circular ring of particles
are displaced by GW so that the circular shape remains the same but the size oscillates about a
mean size. Would it be possible to measure this effect using a laser interferometer?
A5) Yes, but you should analyse the sum of the
strains in the two arms, rather than the difference.
You don't even need two arms to detect GWs,
provided you can measure the round-trip light travel
time along a single arm accurately enough to detect
small changes in its length.
B5) It depends on the direction of the source.
There will be no detectable signal if the source lies
anywhere on the plane which passes through the
center station and bisects the angle of the two arms.
Otherwise there will be a signal, maximised when
the source lies along one or other of the two arms.
Q6) Imagine the mirrors of an interferometer are equally but oppositely (electrically) charged.
Could the effect of a radio-wave on the interferometer be the same as a gravitational wave?
A6) In principle you could detect the passage of an
B6) Since gravitational waves change the shape of
51. RESPONDENT 1
JUDGE
RESPONDENT 2
4 PHASE 2 JUDGES
I watch Wimbledon a little bit on the television and occasionally the Australian Open in January
So let me start with sport. Are you interested in tennis and do you ever watch it on the television?
I like tennis but only watch big tournaments like Wimbledon
1) I think respondent 1 gives himself away when he discusses the human judgments on the flight of a tennis ball.
2) I cannot believe a sighted person saying that Hawk- eye does not alter the viewing.
3) The Hawk-Eye questions reveal some quite specific information that I don’t think was published in audio media. Also, the story wasn’t that important that I’d expect it to be picked up by the audio news services provided to the blind.
4) person 2 seems really unfamiliar with hawk-eye, given that they say they watch Wimbledon
Not being a tennis professional it is not for me to say if it should or should not be used. It does not really alter viewing
So tell me what you think about the Hawk-Eye line judging system
It adds an other element to the game which could make it more interesting
I assume it’s the same technology in cricket and in cricket, Hawk- Eye is between two and four mm out. If it is the same for tennis, then it is probably still more accurate than the human eye. If the players are happy with it and the umpires are happy with it then they should continue using Hawk-Eye
But I want to know whether you think that the umpire or the players could ever make a better judgment than Hawk-Eye
There is always a degree of uncertainty with both people and technology
I think often a tennis player is not in a position to judge accurately as they are not usually parallel with the line. I think that if you set up a test for a line judge with two balls one which landed on the line and one which landed 1mm away from the line, I don't think they could tell the difference. If you think how small 1mm is then it would be so hard for them to judge.
How accurately would you say a human can judge the flight of a tennis-ball? I mean, would you say they could tell the difference between touch the line and 1mm out 2mm out 1 cm out, 2 cm out, or what, and what would it depend on?
it would depend on the speed the ball was travelling and the position of the judge relative to the line and obviously the closer the ball is the line the harder it would be to make a judgement. So you would have to judge each call on an individual bases as there are a lot of factors.
Qualitative data
52. 2
12
49
7
0.86
0.13
Blind
condition
Sighted
condition
Don’t know
equivalents
Net right guesses
Net wrong
guesses
IDENTIFY CHANCE
Blind p=0.0000
Imitation Game tests with the blind
Quantitative data
Pass Rates 14% and 87%
Proportion net
correct guesses
(right-wrong)
Not-identified
14%
87%
53. IR =
Identify condition on right
COLOR- BLIND
P’FECT PITCH
BLIND
SEX-
UALITY
RELIGION
GENDER
f m
GENDER
old young
Chance PR
95%
100%
87%
100%
100%
90%
100%
Identify PR
67%
27%
14%
56%
32%
84%
72%
New method for comparative social analysis
+ ethnicity
Proposed European comparative project
+ South Africa
54. How we play the game now Step 1
Judge
Pretender
Non-Pretender
If you are player A you start by playing the judge role and then you switch between all three roles as convenient
You play with
Bas
Pretender
Cas
Non- Pretender
Das
Judge
Eas
Non- Pretender
Fas
Pretender
Gas
Judge
You communicate with a computer program which controls the games and links all the right players together as they switch from role to role. You don’t see the players in dashed boxes.
PARTICIPANT has target expertise
JUDGE has target expertise
PARTICIPANT pretends to have target expertise
55. How we play the game now
PARTICIPANT has target expertise
JUDGE has target expertise
PARTICIPANT pretends to have target expertise
X c24
c200 NEW PRETENDER ANSWERS
24 SETS OF NON- PRETENDER ANSWERS
24 sets of questions
c200 NEW DIALOGUES
DISCARD
c200 NEW JUDGMENTS
S1
S2
S3
S4
FILTER
57. Pharmaceutical Science
Science4 October 2013: Vol. 342no. 6154pp. 60-65
Who's Afraid of Peer Review?
John Bohannon
A spoof paper concocted bySciencerevealed little or no scrutiny at many open-access journals.
304 versions of spoof wonder drug paper submitted to open-access journals. More than half of the journals (157) accepted the paper, failing to react to its fatal and ‘obvious’ flaws.