Deep Dive Workshop (May 23): Ethics Analysis in Product Development
An interactive, discussion-based workshop that helps participants identify and think through ethical issues that arise in developing an AI product.Working in groups, participants will apply core ethical concepts to a particular product in development. Groups will focus on different stages of the development process, identifying the relevant ethical concerns, revealing the value trade-offs, and devising solutions or safeguards to mitigate risks. This exercise introduces participants to ethics analysis during & of AI products while utilizing their own expertise in the process.
Workshop: Quo Vadis Human, Transhuman, Posthuman? (November 28)
Invited Talk: IRBs for AI: An Unintelligent Choice (November 29)
“Middle East Technical University Department of Philosophy and Center of Applied Ethics (UEAM) organize the 3rd National Congress of Applied Ethics. With rapid developments in science and technology and transformations in social life, the search for answers to ethical questions has become inevitable. It is the responsibility of all researchers, especially philosophers, to determine and evaluate the ethical dimensions of the impacts of these developments on human and environment. In the 3rd Applied Ethics Congress, we focus on the ethical issues that arise in the fields of science, technology, humanitarian and sustainable development with philosophical dimensions.”
Ethics Chat: AI Ethics and AI Ethics Lab
AI and Data Ethics Group:
“The AI and Data Ethics Group provides faculty and students from all disciplines the opportunity to study and discuss emerging issues and current research related to information, data, computing and AI ethics. Topics, readings and speakers are decided upon by members of the group on an ongoing basis. Examples of topics include justice and fairness in machine learning, the form and extent of rights to information and technology access, the appropriate roles of institutions to prevent dissemination of misinformation, the responsible collection and sharing of data, AI research oversight models, and the moral status of artificial intelligences. The group also aims to encourage and develop information ethics research projects and collaborations by its members. Students and faculty from any discipline are encouraged to join. If you are interested in joining this group, or have any questions about it, inquiries should be directed to John Basl, Assistant Professor of Philosophy.”
Mapping Workshop: Biases in Image Search Results (September 20)
Panel: Ethically Handling Data – What is Your Responsibility and What Should be the Next Step? (September 21)
“The Mapping workshop, run by Cansu Canca and Laura Haaber Ihle looked at how we can structure ethical problems at hand, delving into the underlying principles before attempting to solve the issues at hand. The engaging workshop involved attendee collaboration and assessment of practical implementation methods, gradually working toward the creation of practical solutions.” (@Re-Work Blog)
In this workshop, we will watch and discuss the Black Mirror episode called the “White Christmas”.
The “White Christmas” episode weaves together several stories and two main technologies: the Z-Eye that allows blocking others (as well as taking pictures, zooming in, etc.) and cookies that are like an extreme form of personalized AI assistants. Both of these technologies raise a variety of philosophical questions. In this workshop, we will focus on the Z-Eye technology and specifically its function in blocking people.
When searching for “professor” or “CEO” on Google images, the results show overwhelmingly white male pictures. While these jobs are held by white male professionals more often, the image search results present an extreme bias against representing women and people of color. This has been pointed out as an ethical problem in various outlets; however the problem persists.
In this workshop, we use this case as an example on how to structure the ethical problem at hand and its underlying principles before moving on to try solving it. Through the game-like structure of the Mapping method, the workshop will engage participants and help them develop essential tools to decide on ethical solutions that are technically feasible.
Discussions on ethical AI often lead to questions regarding the responsibilities and obligations of tech companies. What was, for example, legally problematic in Facebook’s Cambridge Analytica scandal and what was ethically wrong? What does it mean for a company to be ethically wrong if it operates within the legal limits? What are the legal limits of corporations when it comes to systems that rely on user consent and/or that form a de facto monopoly? In this discussion session, we will focus on corporate law in relation to AI ethics. In a “coffee meet-up” style, AI Ethics Lab will host Professor Holger Spamann from Harvard Law School to discuss these questions.
Often we access information that is presented to us through an AI system. Search engine results, Google Scholar pages, social media posts and tweets are prioritized and made available to us through an algorithm. Voice assistants respond to our inquiries. The world as we know it is at this point largely shaped by the AI systems that surround us and this trend will continue to increase. What does this entail about what we can know, what it means to know and how we know it?
Searching for “professor” or “CEO” on Google images, the results show overwhelmingly white male pictures. While these jobs are held by white male professionals more often, the image search results present an extreme bias against representing women and people of color. This has been pointed out as an ethical problem in various outlets; however the problem persists. In this workshop, we use this case as an example on how to structure the ethical problem at hand and its underlying principles before moving on to try solving it.
What kind of ethical issues do we face in AI systems and how can we solve them? From risk assessment tools and text analytics systems to visual recognition system, from the ‘fake news’ problem to the chatbots, ethical issues arise in a great range of AI systems. This workshop aims to focus on different methods to integrate ethical analysis and ethical design into the development of AI systems. By the end of this workshop, we will also choose specific topics to focus on and form working groups to work on thorough analyses of such topics from ethical, technical, and legal perspectives.
The goal of the workshop is to look into ways of incorporating ethical design into AI systems. The workshop aims to bring basic concepts in ethics into practical application. Through cases, we will illustrate how ethical concerns and value judgements are integral to AI systems. Participants will take part in identifying ethical issues in existing and developing technologies and brainstorm about possible design solutions. In this interactive workshop we will analyze and evaluate design ideas for their ethical and social impact as well as for their effectiveness and efficiency.
Transportation is an area where adoption of AI systems has become widespread. As the use of AI technologies in transportation becomes more common, its effects on our lives will be significant and various. While the most popular topic of discussion in this area has been the autonomous car version of “the trolley question”, where we must decide how the algorithm should react when faced with an inevitable crash killing pedestrians or passengers, this is not the most crucial ethical issue regarding AI systems and transportation. The effects of autonomous vehicles on the city planning and on disadvantaged areas, on jobs in transportation and based on transportation (such as roadside restaurants and accommodations), and on the security of data collected within and around the vehicle are just some of the ethical questions that arise. In this workshop, we will discuss ethics of AI and transportation, and we will take the first steps to form working groups focusing on this domain.
We had our first Istanbul working group meeting on “AI Ethics” in collaboration with TRAI, where, together with lawyers and engineers, we focused on the existing and expected ethical issues in AI technologies.
Türkiye Yapay Zekâ İnisiyatifi (TRAI) Çalıştay: Yapay Zekâ ve Etik
TRAI iş birliği ile İstanbul’da yaptigimiz ilk “Yapay Zekâ ve Etik” çalıştayında hukukçular ve mühendislerle yapay zekâ alanında karşılaştığımız ve karşılaşmayı beklediğimiz etik sorunlara eğildik.