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Samson Esayas is a Faculty Associate at the Berkman Klein Center, affiliated with Harvard University. His research delves into the intersection of law and technology, particularly focusing on the implications of artificial intelligence and big data in policy-making. Esayas has contributed to the academic discourse with publications emphasizing the complexities involved in regulating generative AI technologies. Through his work, he aims to unpack the nuanced legal challenges posed by the rapid evolution of technology and its societal impacts. In his recent book, 'Unpacking Interface Complexity Science', published by Oxford University Press, he offers concrete policy proposals aimed at addressing significant legal challenges associated with big data. He actively participates in discussions around the EU AI Act and the real-time experiments for regulating AI systems. His expertise extends to understanding the intricacies of how synthetic content is crafted by generative systems using learned patterns.
Administered by the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences (GSAS).