BI-IAA Seminar Series

The BI-IAA Seminar series is a joint seminar organized by the Institute for Assured Autonomy (IAA) and the Berman Institute of Bioethics at Johns Hopkins University. This quarterly seminar series focuses on ethical, legal, social, and governance issues raised by AI/ML research and the development and deployment of autonomous systems. This series is intended for a disciplinarily diverse audience, including those from the IAA, the Berman Institute, the Applied Physics Lab (APL), and those from computer science, engineering, public health, history, sociology, and philosophy backgrounds, and beyond. Previous speakers include experts in the fields of cultural anthropology, data science, computer science, and the philosophy and ethics of AI.

Upcoming Lectures

IAA & Berman Institute Seminar Series: “Mind Your Privacy: Navigating the Neuro-Data Dilemma” by Marcello Ienca
11:00 am - 12:00 pm

Prof. Ienca will address current regulatory gaps and propose strategic solutions to ensure the privacy and security of brain data in the evolving landscape of neuroscience and technology

Previous Lectures

Race Matters in Health Data by Kadija Ferryman, PhD, Johns Hopkins Berman Institute of Bioethics
BI-IAA Seminar Series: Race Matters in Health Data by Kadija Ferryman, PhD
11:00 am - 12:00 pm

Ferryman describes how processes of racialization become material, or evident in health data

Tackling the Intractable Problem of Bias by David Danks, PhD, of the University of California, San Diego
BI-IAA Seminar Series: Tackling the Intractable Problem of Bias by David Danks, PhD
11:00 am - 12:00 pm

Danks argue that most responses aimed at eliminating (algorithmic) biases fail to address their core ethical and societal challenges

BI-IAA Seminar Series: Normative Metacognition in AI by Vincent Mueller
11:00 am - 12:00 pm

Read an overview of Professor Muller’s lecture about the role of normative metacognition in human cognition and in AI (recording not available)

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