Fri-DIYs: Responsible AI, anyone?
Join us for Fri-DIYs, Lorong AI's immersive workshop series where participants gain hands-on experience implementing AI technologies in an intimate, collaborative learning environment. (Lorong AI members & by invite-only session)
S1E8: Operationalizing Responsible AI, anyone?
Ready to tackle the real challenges of Responsible AI? Join us for a hands-on workshop where you’ll work through a real government social services case study. See how design choices carry normative implications and practice balancing competing priorities in system design.
Experiment with:
Translating ethical principles into technical requirements
Navigating trade-offs between human values such as privacy, fairness, and transparency
Applying Responsible AI mindset to real-world scenarios
Do note that attendees are required to bring an internet-facing laptop as it'd be a hands-on session.
Experience the challenges of AI policymaking worldwide - from navigating ethical dilemmas to making principled design decisions, gain practical experience in operationalizing Responsible AI that applies to any system design context.
Note: Setup and registration starts from 2.30pm, with the workshop beginning at 3pm.
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👨💻Led by Dr. Sholmi Hod
Shlomi Hod is the co-founder of Praxif.ai, a responsible AI lab. He is a senior advisor at DART Consulting and Training, a senior researcher at the German Federal Institut for Employment Research, and a researcher at the Weizenbaum Institute. His work focuses on creating tools for the real-world deployment of responsible computing systems, with particular emphasis on differential privacy. He has led workshops on operationalizing Responsible AI for policymakers, regulators, and diplomats across organizations worldwide, including the US Congress and the German Federal Foreign Office. Shlomi recently earned his PhD in Computer Science from Boston University. During his doctoral studies, he completed a fellowship at Harvard University, a one-year-long research visit at Columbia University, and worked at Twitter on content moderation AI.