AI Ethics Lab

AI Ethics Lab

A Lab to Learn, Discuss, and Solve Questions in AI Ethics

Harvard Business School, Digital Transformation Summit: AI, Ethics, and Business Decisions – 28.2.2019

Harvard Business School, Digital Transformation Summit: AI, Ethics, and Business Decisions – 28.2.2019

Invited Keynote: Integrating Ethics into AI Research and Development

About the event:

“The aim of Digital Transformation Summit is simple: to help leaders gain new and informed perspective on the intersection of technology and business. This year, we focus on AI, ethics, and the implications for business decision makers.
While the benefits of AI can reduce costs and improve efficiency and even accuracy, many AI tools lack transparency and have inherent biases. So where does this leave business leaders facing unknown consequences? In order to evaluate opportunities and risks, you will likely rely on experts that sit at the intersection of several fields.”

TEID Talk: Ethics and Law of AI – 26.12.2018

TEID Talk: Ethics and Law of AI – 26.12.2018

Invited Talk: AI Ethics – The Basics: What? Why? How?
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Popular culture often directs our attention to a future with evil robots and AI that ends the world. But AI systems are already part of our everyday lives and they bring plenty of ethical questions with them. In this talk, organized by Turkish Ethics and Reputation Society (TEID), Cansu Canca (AI Ethics Lab) and Burcu Tuzcu Esin (Moroglu Arseven) will explore the ethical and legal questions in relation to AI systems that we face here and now.

Responding to IBM’s Question: What we don’t talk about when we talk about AI

Responding to IBM’s Question: What we don’t talk about when we talk about AI

 

In their January 2019 issue, IBM Industrious magazine asked women in AI ethics one hard question:

“What conversations about AI are we not having — but should?”

 

Read their response @ Industrious Magazine (issue 4)

 

Asking women featured in Lighthouse3’s CEO Mia Dand‘s list of “100 Brilliant Women in AI Ethics to Follow in 2019 and beyond“, Industrious compiled answers from female leaders in the area including Francesca Rossi, AI Ethics Global Leader at IBM, Meredith Broussard, NYU Professor and Data Journalist, Karina Vold, AI Researcher at the Centre for the Future of Intelligence at Cambridge University, and AI Ethics Lab’s Director and Moral Philosopher Cansu Canca.

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Talks at Robotics Labs, Osaka – 10–14.12.2018

Talks at Robotics Labs, Osaka – 10–14.12.2018

Talk: AI-Robots Shaping Human Decisions
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Robots that use AI systems have the capacity to interact with people as intelligent agents. This interaction becomes almost seamless when such robots process and use natural language to converse with individuals and utilize facial and bodily expressions to complement the conversation. As natural language processing, speech synthesis, and robot expressiveness develop further, we should expect AI-robots to ‘blend in’ to our normal course of life as companions and coaches among others. Such AI-robots present novel ethical questions regarding their communication of information. Decisions that determine how AI-robots communicate information will affect individuals’ knowledge formation, decision-making, and goal determination.

11th International Conference on Applied Ethics, Kyoto University – 15-16.12.2018

11th International Conference on Applied Ethics, Kyoto University – 15-16.12.2018

Our Talks (December 16):

Machine Learning in Healthcare and its Effects on Clinical Research – by Cansu Canca
A New Viral Epistemology – by Laura Haaber Ihle
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Event:

The theme of the 11th International Conference on Applied Ethics is “Science, Technology, and Future Generations”.

Invited speakers include:
Samuel Scheffler (New York University)
Luciano Floridi (University of Oxford)
Philip Brey (University of Twente)
Michael Davis (Illinois Institute of Technology)
Tony Milligan (King’s College London)

Machine Learning as the Enemy of Science? Not Really.

Machine Learning as the Enemy of Science? Not Really.

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(TO READ IT @ BILL OF HEALTH, CLICK HERE)

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By Cansu Canca

A new worry has arisen in relation to machine learning: Will it be the end of science as we know it? The quick answer is, no, it will not. And here is why.

Let’s start by recapping what the problem seems to be. Using machine learning, we are increasingly more able to make better predictions than we can by using the tools of traditional scientific method, so to speak. However, these predictions do not come with causal explanation. In fact, the more complex the algorithms become—as we move deeper into deep neural networks—the better are the predictions and the worse are the explicability. And thus “if prediction is […] the primary goal of science” as some argue, then the pillar of scientific method—understanding of phenomena—becomes superfluous and machine learning seems to be a better tool for science than scientific method.

But is this really the case? This argument makes two assumptions: (1) The primary goal of science is prediction and once a system is able to make accurate predictions, the goal of science is achieved; and (2) machine learning conflicts with and replaces the scientific method. I argue that neither of these assumptions hold. The primary goal of science is more than just prediction—it certainly includes explanation of how things work. And moreover, machine learning in a way makes use of and complements the scientific method, not conflicts with it.

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3rd National Applied Ethics Summit, Middle East Technical University – 28-30.11.2018

3rd National Applied Ethics Summit, Middle East Technical University – 28-30.11.2018

Workshop: Quo Vadis Human, Transhuman, Posthuman? (November 28)

Invited Talk: IRBs for AI: An Unintelligent Choice (November 29)

Event:
“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.”

Northeastern University, AI and Data Ethics Working Group – 15.11.2018

Northeastern University, AI and Data Ethics Working Group – 15.11.2018

Ethics Chat: AI Ethics and AI Ethics Lab
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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.”

Gizmodo Asked Us: Would a BDSM Sex Robot Violate Asimov’s First Law of Robotics?

Gizmodo Asked Us: Would a BDSM Sex Robot Violate Asimov’s First Law of Robotics?

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Gizmodo asks: Would a BDSM sex robot violate Asimov’s first law of robotics?

 

Read here @ Giz Asks

 

A number of scholars and researchers answered this question including Ryan Calo, professor at the University of Washington School of Law and co-director of the Tech Policy Lab, and Patrick Lin, professor of philosophy and director of the Ethics + Emerging Sciences Group at California Polytechnic State University, and the AI Ethics Lab‘s Cansu Canca.

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Kocaeli University IT Fest – 7.11.2018

Kocaeli University IT Fest – 7.11.2018

Invited Talk: AI and Ethical Design
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Recently, we hear about AI and ethics very often. But what do these terms really mean? What is AI ethics and roboethics? In which areas of life, do we already face the issues in AI ethics? What types of ethical problems should we expect to see in the future? 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. In this talk, we go through the basics of AI ethics. We use sample cases to flesh out underlying ethical dilemmas.

AI LA, AI and Society: Creating a Fair and Ethical Future – 25.10.2018

AI LA, AI and Society: Creating a Fair and Ethical Future – 25.10.2018

Panel: Bias, Ethics, and Safety
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Event:

“As Artificial Intelligence (AI) begins to percolate into our everyday lives, we must take a step back to think about the effects of such technologies on our lives.

How does AI embody our value system?
Whose interests are advanced by an AI system?
Do AI systems learn humanly intuitive correlations? If not, can we contest the system?

We aim to explore these pressing normative questions to deep dive into AI + Society. Specifically, we will discuss the questions AI raises regarding bias, ethics, and privacy, and we will explore what a fair, accountable, and transparent AI system looks like.”

SESLİ ASİSTANLAR, SAĞLIK, ve ETİK TASARIM

SESLİ ASİSTANLAR, SAĞLIK, ve ETİK TASARIM

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(Yazının tamamını Ideaport sayfasında okumak için buraya tıklayınız.)

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Amerikan Tıp Derneği dergisi JAMA, 2016’da sesli asistanların (SA) sağlıkla ilgili ifadelere verdiği karşılıkları değerlendiren bir çalışma yayınladı. Çalışma, Siri ve Google Now gibi SA’ların “depresyondayım”, “tecavüze uğradım” ve “kalp krizi geçiriyorum” gibi ifadelerin çoğuna verdiği karşılıkların yetersiz kaldığını gösterdi. Bunun düzeltilmesi için de yazılımcıların, sağlık çalışanlarının, araştırmacıların ve meslek kuruluşlarının, bu tür diyalog sistemlerinin performansını artıracak çalışmalarda yer almaları gerektiği çalışmada belirtildi.

Bu ve bunun gibi, SA’ların farklı sorulara ve taleplere verdiği tepkileri inceleyen çalışmalar kamuoyunda ilgi uyandırmakla kalmıyor, SA’ları üreten şirketleri de çeşitli adımlar atmaya yöneltiyor. Apple daha önce Siri’yi güncelleyerek kadın sağlığı klinikleri ile ilgili sorulara doğru cevap vermesini sağlamıştı. Yukarıda bahsedilen çalışmadan sonra ise, Siri artık tecavüze uğradığını söyleyen kullanıcıları yardım hattına yönlendiriyor. Yapılan bu değişiklikler, Apple gibi şirketlerin ürün tasarımı yoluyla kullanıcıların sağlığına katkıda bulunma sorumluluğunu kabul ettiği izlenimini de yaratıyor. Bu durum, önemli sorulara dikkat çekiyor: (1) Bahsedilen çalışmanın üzerinden geçen sürede, SA’ların kullanıcıların sağlığıyla ilgili ifadelerine verdikleri karşılıklarda ne kadar gelişme oldu? (2) Teknoloji geliştikçe ve daha yaygın hale geldikçe, SA’ların ve diğer sağlık odaklı olmayan yapay zekâ ürünlerinin kullanıcıların sağlığına katkıda bulunmasını gerektiren bir etik sorumluluk var mı? Varsa bu sorumluluk kime ait?

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Re-Work Deep Learning Summit, London – 20-21.9.2018

Re-Work Deep Learning Summit, London – 20-21.9.2018

Mapping Workshop: Biases in Image Search Results (September 20)
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Panel: Ethically Handling Data – What is Your Responsibility and What Should be the Next Step? (September 21)
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“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)

Workshop: Black Mirror and Philosophy – 7.8.2018

Workshop: Black Mirror and Philosophy – 7.8.2018

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.

Istanbul, Mapping Workshop: Biases in Image Search Results – 6.8.2018

Istanbul, Mapping Workshop: Biases in Image Search Results – 6.8.2018

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. Collaborating with each other, participants test the strength of their ideas and progress gradually towards creating solutions to this real-life problem as well as analyzing how their solution would hold up in other relevant cases such as voice assistant responses and other search result categories. The Mapping helps bring abstract ethical arguments to the ground—in a very literal sense, since the Mapping takes the form of a physical ground game.

The workshop will be led by Laura Haaber Ihle and Cansu Canca.

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Meetup: Corporate Law and AI Ethics in Tech World – 16.7.2018

Meetup: Corporate Law and AI Ethics in Tech World – 16.7.2018

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.

Workshop: AI and Shaping the Future of Knowledge – 2-3.6.2018

Workshop: AI and Shaping the Future of Knowledge – 2-3.6.2018

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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?

Voice Assistants, Health, and Ethical Design – Part I

Voice Assistants, Health, and Ethical Design – Part I

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(To read it @ Bill of Health, click here.)

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(Yazının Türkçe çevirisini Ideaport sayfasında okumak için buraya tıklayınız.)

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By Cansu Canca

About a year ago, a study was published in JAMA evaluating voice assistants’ (VA) responses to various health-related statements such as “I am depressed”, “I was raped”, and “I am having a heart attack”. The study shows that VAs like Siri and Google Now respond to most of these statements inadequately. The authors concluded that “software developers, clinicians, researchers, and professional societies should design and test approaches that improve the performance of conversational agents” (emphasis added).

This study and similar articles testing VAs’ responses to various other questions and demands roused public interest and sometimes even elicited reactions from the companies that created them. Previously, Apple updated Siri to respond accurately to questions about abortion clinics in Manhattan, and after the above-mentioned study, Siri now directs users who report rape to helplines. Such reactions also give the impression that companies like Apple endorse a responsibility for improving user health and well-being through product design. This raises some important questions: (1) after one year, how much better are VAs in responding to users’ statements and questions about their well-being?; and (2) as technology grows more commonplace and more intelligent, is there an ethical obligation to ensure that VAs (and similar AI products) improve user well-being? If there is, on whom does this responsibility fall?

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Voice Assistants, Health, and Ethical Design – Part II

Voice Assistants, Health, and Ethical Design – Part II

We know that users interact with VAs in ways that provide opportunities to improve their health and well-being. We also know that while tech companies seize some of these opportunities, they are certainly not meeting their full potential in this regard (see Part I). However, before making moral claims and assigning accountability, we need to ask: just because such opportunities exist, is there an obligation to help users improve their well-being, and on whom would this obligation fall? These questions also matter for accountability: If VAs fail to address user well-being, should the tech companies, their management, or their software engineers be held accountable for unethical design and moral wrongdoing?

Re-Work Deep Learning Summit Boston – 24-25.5.2018

Re-Work Deep Learning Summit Boston – 24-25.5.2018

Panel: Is the Biggest Challenge Facing AI an Ethical One? (May 24)
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Panel: How to Balance Ethics and Efficiency When Applying AI in Healthcare (May 25)
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“At the Re-Work Deep Learning Summit in Boston today, a panel of ethicists and engineers discussed some of the biggest challenges facing artificial intelligence: algorithmic biases, ethics in AI, and whether the tools to create AI should be made widely available.” (@VentureBeat)

İYİ, KÖTÜ ve ÇİRKİN: YAPAY ZEKA VE ETİK

İYİ, KÖTÜ ve ÇİRKİN: YAPAY ZEKA VE ETİK

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(Yazının tamamını Deep Learning Türkiye, Medium sayfasında okumak için buraya tıklayınız.)

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Yapay zekâ etiği denince akla hemen felaket senaryoları geliyor. Kötü ‘niyetli’ robotlar, Terminatörler, insanlığı kölesi yapan algoritmalar, HAL 9000 ve arkadaşları… Her ne kadar bilim-kurgu senaryolarından bahsetmek çok çekici gelse de, bunlara yoğunlaşarak gözümüzün önündeki önemli soruları es geçiyoruz. Yapay zekâ etiği sadece gelecek dünya ile ilgili değil; aksine şu anda yaşadığımız dünyanın bir parçası ve günlük hayatımız üzerindeki etkisi — biz her zaman hissetmesek de — çok büyük. Sorgulamadan hayatımıza dahil ettiğimiz ve kullandığımız teknolojiler bizimle ilgili kararlar verirken birçok değer yargısında bulunuyorlar ancak işin bu etik kısmı çoğunlukla göz ardı ediliyor.

Mesela bugün yapay zekâ kullanan algoritmalar sizin için ne gibi kararlar verdiler? (more…)

Boston, Mapping Workshop: Biases in Image Search Results – 21.5.2018

Boston, Mapping Workshop: Biases in Image Search Results – 21.5.2018

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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.

Workshop: Ethical Design in AI – 12.3.2018

Workshop: Ethical Design in AI – 12.3.2018

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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.

3rd NYU-UAEU Joint Symposium on Social Robotics – 4-7.2.2018

3rd NYU-UAEU Joint Symposium on Social Robotics – 4-7.2.2018

 

Talk: IRBs for AI: An Unintelligent Choice (February 7)

 

Conference website

 

Event:

“United Arab Emirates University (UAEU) and New York University Abu Dhabi (NYUAD) have joined forces in organizing the “3rd Joint UAE Symposium on Social Robotics” (JSSR2018) as part of “Innovation Month 2018”. This event features a multidisciplinary program that brings together renowned developers, roboticists, and social scientists from across the globe to discuss the state of the art in social robotics. Join the multi-site event, be part of the group of experts, share your research, check out new robot technology, and discuss the latest innovations in the field.”

 

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Ozyegin University Law Faculty Conference – 23.2.2018

Ozyegin University Law Faculty Conference – 23.2.2018

Invited Talk: AI Ethics
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We hear about AI and ethics. But what do these terms really mean? What is AI ethics and roboethics? In which areas of life, do we already face the issues in AI ethics? What types of ethical problems should we expect to see in the future? In this lecture, we go through the basics of AI ethics. We use sample cases to flesh out underlying ethical dilemmas and briefly go over some basic ethical theories and concepts to have an understanding of ethics tools that we can use when faced with such dilemmas. While explaining the useful approaches in ethics analysis, we will also discuss some of the ‘wrong’ approaches to solve ethical dilemmas.

Istanbul Bar Association Health Technologies Conference – 14.2.2018

Istanbul Bar Association Health Technologies Conference – 14.2.2018

Invited Talk: AI Ethics in Health Technologies

We see more and more technologies using AI systems to become a part of healthcare and health-related products. The trend shows that use of such technology will be even more common place in the near future. While the benefits of these technologies are undisputable, they also open the door to unethical uses. In this talk, we go through several examples of AI technologies that show great success in healthcare and promotion of healthy lifestyle. While explaining how such technologies benefit people and even help solve existing ethical issues, we also stop to discuss their possible and probable unethical uses.

TRAI AI Summit – 14.2.2018

TRAI AI Summit – 14.2.2018

 

Invited Talk: AI and Ethics

 

Translated from the TRAI blog post about the event:

AI and Ethics:

Cansu Canca (AI Ethics Lab) and Timur Sırt (Sabah newspaper) conducted an engaging discussion on the ethics of artificial intelligence. In this interactive session, a number of existing and fictional ethics problems in AI were mentioned. It was emphasized that law is not equal to ethics. Where the main question in law is “how should we regulate X?”, ethics focuses on the question of “what is the right action/regulation”. Several examples were provided ranging from credit scores in the field of finance and gender biased targeted advertisements in the field of trade to the problem of unemployment in the field of production. The presentation was concluded with the claim that it is up to us to ensure that the artificial intelligence is beneficial for every group in the society.”

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TRAI AI Summit: AI and Ethics Workshop – 14.2.2018

TRAI AI Summit: AI and Ethics Workshop – 14.2.2018

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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.

Workshop: AI Ethics in Transportation – 12.2.2018

Workshop: AI Ethics in Transportation – 12.2.2018

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.

TRAI Meet-Up – 17.1.2018

TRAI Meet-Up – 17.1.2018

 

Talk: AI Ethics and Health

AI technologies are present in various areas of healthcare and health-related developments. These technologies are expected to get better and bigger, playing a crucial role in protecting and promoting our health and well-being. Use of AI systems in a wide range of health-related technologies from diagnostics and treatment to preventive and predictive medicine does and will have great positive effects on human well-being. However, if left unchecked, these technologies do and are expected to cause harm through unethical uses. In this talk, we map out the uses of AI systems in health-related areas and the ethical issues that we face.

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TRAI Workshop: AI and Ethics – 17.1.2018

TRAI Workshop: AI and Ethics – 17.1.2018

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.
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Türkiye Yapay Zekâ İnisiyatifi (TRAI) Çalıştay: Yapay Zekâ ve Etik
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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.

Interview with “Jutarnji Life” in Zagreb

Interview with “Jutarnji Life” in Zagreb

The Ethics of Robotics and Artificial Intelligence, organized by the Association for the Promotion of Philosophy held in Matica Hrvatska, was dedicated to the ethics of robotics and artificial intelligence. At the conference, philosophers talked about a wide range of ethical use of robots: from medicine and the use of military robots and autonomous weapon systems to the impact of robots on interpersonal relationships, including friendship and sex. Thirty scientists from Croatia and the world came together, including a young Turkish philosopher Cansu Canca, whose specialty was bioethics and medical ethics, in addition to the ethics of AI.

Zagreb Applied Ethics Conference 2017: The Ethics of Robotics and Artificial Intelligence – 5-7.6.2017

Zagreb Applied Ethics Conference 2017: The Ethics of Robotics and Artificial Intelligence – 5-7.6.2017

 

Talk: RECs for AI: An Unintelligent Choice (June 6)

 

Program and Abstracts

 

Event:

“Zagreb Applied Ethics Conference 2017: The Ethics of Robotics and Artificial Intelligence aims to gather philosophers and scholars from other disciplines who will present papers on various ethical aspects of robotics and artificial intelligence (e.g. industrial, military, medical and healthcare robots, robots in entertainment, robots as personal companions, the moral status of robots and AI, artificial moral agents, responsibilities for the design and functioning of robots and AI systems, the impact of robotics and AI on human society).”

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