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On episode #141 of Eye on AI, Craig Smith sits down with Arjun Subramonian, a PhD student hailing from UCLA, with a focus on AI fairness and ethics. Arjun's work encompasses the intricate intersections of machine learning, algorithmic fairness, social justice, and ethics, all while ensuring inclusivity and equity in the realm of technology.

In this episode, we embark on a journey through the power of technology, exploring the potential biases in tech development. Arjun shares his personal journey from Silicon Valley to academia, shedding light on the challenges faced as a transgender researcher.

Arjun guides us through the ways technology can have a positive impact, from using neo-pronouns to fostering inclusive environments for the queer community. We also venture into the complexities of democratizing AI research, the risks of AI misuse, and the limitations of the scientific method.

Our conversation wraps up by emphasizing the importance of inclusivity and equity in the global context, underlining the need for cross-globe communication in building a more inclusive, equitable technology landscape.

Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

00:00 Preview and Celonis Ad

03:12 Promoting LGBTQ+ Inclusion in AI

15:29 Decentralized Organizations

22:29 Pitfalls of AI and Academia

30:59 AI Evolution and Challenges of Inclusion

38:26 Intersectionality and Inclusivity in AI

45:20 Celonis

#142 Arjun Subramonian: The Intersection of AI, Diversity, and Ethics

Eye On A.I.