Ethics and Bias in Artificial Intelligence
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AI Governance & Regulation - How to Prepare for the Inevitable

Combined Session
Friday, May 12, 2023 13:50—14:30
Location: A 03-04

For many years public concern about technological risk has focused on the misuse of personal data, with GDPR, most hated and loved at the same time as one of the results. With the huge success of LLMs and generative AIs such as ChatGPT,  artificial intelligence soon will be omnipresent  in products and processes, which will shift regulator´s attention to the potential for bad or biased decisions by algorithms. Just imagine the consequences of a false medical diagnose, or of a correct diagnose created by an AI and then not accepted by the doctor. Not to mention all the other fields where bad AI can be harmful, such as autonomous cars or algorithms deciding on your future credibility. Inevitably, many governments will feel regulation is essential to protect consumers from that risk.

In this panel discussion we will try to jointly create a list of those risks that we need to regulate the sooner the better and try to create an idea on how this future regulation will impact the way we use AI in our bsuiness and private lives.

Sray Agarwal
Sray Agarwal
Fractal AI
Sray Agarwal has applied AI and analytics from Financial Services to Hospitality and has led the development of Responsible AI framework for multiple banks in the UK and the US. after completing...
Dr. Scott David, LL.M.
Dr. Scott David, LL.M.
University of Washington - APL
Scott David, J.D., LL.M., is the Executive Director - Information Risk and Synthetic Intelligence Research Initiative (IRSIRI) at the University of Washington Applied Physics Laboratory and was...
Dr. Silvia Knittl
Dr. Silvia Knittl
Dr. Silvia Knittl is Director at PwC Germany in the Cyber & Privacy domain with a strong focus on  Enterprise Security Architecture as well as Identity & Access Governance. She...
Martin Kuppinger
Martin Kuppinger
Martin Kuppinger is Founder and Principal Analyst at KuppingerCole, a leading analyst company for identity focused information security, both in classical and in cloud environments. Prior to...


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