Kasia Chmielinski
Co-Founder, Data Nutrition Project Fellow, Stanford Digital Civil Society Lab Advisor, United Nations Previously at MIT Media Lab, McKinsey & Company, Google
Digital Narratives Studio Talk Series #1: From Principles to Pixels: On the Promise of Responsible Tech Practices
Video Recording: https://youtu.be/Zr_k7cgGACI
Time: Friday 8 December 2023, 4:00pm - 6:00pm (HK time)
Place: The C-Centre, NAH 313 Humanities Building, CUHK
Format: Hybrid-for registered online attendees the ZOOM link will be sent via email 24 hours prior to the event
Please register via this link: https://forms.office.com/r/jzYZQzsvat by 12:00nn, Thursday, 7 December 2023
About the Talk
As a surge in massive AI systems challenges our expectations, the lack of governance and accountability raises concerns. While principles and regulations are on the horizon, there exists a pressing need for proactive measures within the tech community.
In this talk, Chmielinski will delve into the concept of "safety by design," advocating for the integration of a safety mindset into the product development cycle from its inception. The discussion will encompass a range of topics, including maintaining dataset integrity and transparency, adopting trust and safety protocols for generative AI, and highlighting tangible examples of user-centered design in deployment—moving beyond theoretical discourse to actionable strategies. Discover how the proactive addressing of potential harms and the implementation of care-driven practices can pave the way for building better tech that truly serves everyone.
About the Speaker
Kasia Chmielinski (they/them) is the Co-Founder of the Data Nutrition Project, an initiative that builds tools to mitigate bias in artificial intelligence, and a fellow at Stanford University focused on building responsible data systems. Previously, they held positions at the United Nations (OCHA), US Digital Service (EOP / OMB), MIT Media Lab, McKinsey & Company, and Google. They are also a purveyor of multimedia stories, and their work has been supported by organizations including the Rockefeller Foundation, Sundance Institute, Vision Maker Media, and NPR. When not thinking about data, Kasia is usually cycling or birdwatching around the Northeastern United States.
TIME & PLACE
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Friday 8 December 2023, 4:00pm - 6:00pm (HK time)
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The C-Centre, NAH 313 Humanities Building, CUHK
for registered online attendees the ZOOM link will be sent via email 24 hours prior to the event