As AI becomes more integrated into our daily lives, it raises significant privacy concerns. This panel will specifically focus on the privacy and data risk aspects associated with human-computer interactions and technological advancements, including Large Language Models. Our conversation will comprehensively explore significant challenges, delving into the ethical aspects of data collection and the extensive ramifications of algorithmic decision-making. Additionally, we will discuss approaches for understanding and interpreting AI in organizations despite the potential risks involved. By addressing the current AI challenges and benefits, we aim to highlight the necessity for trustworthy AI. Join us for an engaging roundtable discussion exploring the complex relationship between privacy and AI in our increasingly interconnected world. We look forward to hearing audience perspectives as we explore this nuanced topic.

Speakers:

Christopher Lee – Principal Privacy Engineer, MITRE

Michael Curtin – Innovation Coordinator, UIUC

Ece Gumusel – Privacy Analyst, UIUC