We were honored to host the fourth installment of our NRT Ethical AI Talk Series, featuring Dr. Aylin Caliskan, Assistant Professor at the University of Washington’s Information School. Her thought-provoking session, “Societal Impact of Language Models: Harm Analysis and Reduction,” examined the ethical challenges and unintended consequences of large-scale language models (LLMs).
Dr. Caliskan explored how biases embedded in training data can perpetuate social harms, including stereotypes, misinformation, and exclusion. She shared cutting-edge research on measuring and mitigating these risks, emphasizing the need for interdisciplinary collaboration to ensure equitable AI systems.
The event sparked lively discussions on accountability in AI development, with attendees engaging in a deep Q&A on topics like algorithmic transparency, cultural representation, and policy frameworks for harm reduction.
Join us for future sessions in the NRT Ethical AI Talk Series as we continue to tackle pressing issues at the intersection of technology and ethics!
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