Talk at ArgLab: "Dis/Trusting AI?"
10 February 2023

Photo: Wilhelm Gunkel on Unsplash, cropped
Prof. Dr. Judith Simon is guest speaker at ArgLab research colloquium in Lisbon, Portugal. In her talk, Judith Simon will first turn to the question whether we can sensibly talk about trust in AI systems. Proposing a socio-technical view on AI, she will argue that we can trust AI 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. Simon will conclude her talk by outlining some epistemic and ethical requirements for trustworthy systems and with some thoughts on the relation of trust and distrust in the context of such data-based decision support systems.
When: 10.02.2023, 11:00 - 13:00
This event is part of the ArgLab Research Colloquium organised at the Laboratory of Argumentation, Cognition and Language of the NOVA Institute of Philosophy, Lisbon, Portugal.
DIS/TRUSTING AI ?
Judith Simon
About the lecture
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, employ 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 AI systems. Proposing a socio-technical view on AI, I will argue that we can trust AI 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 and distrust in the context of such data-based decision support systems.