16 September 2022

Prof. Dr. Judith Simon is one of the speakers at this conference on the topic of trust, distrust and forgiveness, organized by the University of California, Irvine. Her talk "DIS/TRUSTING ARTIFICIAL INTELLIGENCE?" will start on Friday, September 16, 22 at 10:05 PDT (which is 19:05 CEST) and is free to attend for everyone after registration.

When: 16./17.09.2022

Where: hybrid, virtual access details: https://uci.zoom.us/meeting/register/tJUpfu-vrD8qGtWYbvkmA6DoZiOuGuhkvUED

More about this conference: https://www.humanities.uci.edu/events/trust-distrust-and-forgiveness-conference-uc-irvine-september-16-17-2022

DIS/TRUSTING ARTIFICIAL INTELLIGENCE?

Judith Simon

Recent advances in data analysis have led to the development of an abundance of technologies to support human-decision making in many societal domains. Such applications, often labeled artificial intelligence, employing machine learning and other types of statistical data analysis for classification, prediction, and decision support. Due to their widespread utilization, they affect most of us on a daily basis, albeit in different ways. As countless cases have demonstrated, data-based systems are prone to biases and may further entrench or even increase inequalities and discrimination by transforming biased evidence into seemingly neutral numbers. As a result, the question arises whether and under what conditions we can or should trust such systems. In my talk I will first turn to the question whether we can sensibly talk about trust in Al systems. Proposing a socio-technical view on Al, I will argue that we can trust Al systems, if we conceive them as systems consisting of networks of technologies and human actors, but that we should trust them if and only if they are trustworthy. I will then investigate some epistemic and ethical requirements for trustworthy systems and conclude my talk with some thoughts on the relation of trust, distrust and forgiveness in the context of such data-based decision support systems.