Uploaded August 2023 | Updated September 2026, 2 weeks ago
the AI Problem Understanding Gap and the Necessity of Structured Societal Context Knowledge for Safe, Robust AI
Donald Martin, Jr., Google Research
The application of machine learning (ML) and artificial intelligence (AI) in high-stakes domains, such as healthcare, presents both opportunities and risks. One significant risk is the epistemic uncertainty of ML/AI developers, who often lack sufficient contextual knowledge about the complex problems they aim to address and the socio-technical environments in which their interventions will be implemented. Conversely, individuals from civil society who are most affected by these issues and are most vulnerable to the harms that AI systems can cause possess deep, qualitative contextual knowledge that is often overlooked and difficult to incorporate into product development workflows.
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the AI Problem Understanding Gap and the Necessity of Structured Societal Context Knowledge for Safe, Robust AI
Donald Martin, Jr., Google Research
The application of machine learning (ML) and artificial intelligence (AI) in high-stakes domains, such as healthcare, presents both opportunities and risks. One significant risk is the epistemic uncertainty of ML/AI developers, who often lack sufficient contextual knowledge about the complex problems they aim to address and the socio-technical environments in which their interventions will be implemented. Conversely, individuals from civil society who are most affected by these issues and are most vulnerable to the harms that AI systems can cause possess deep, qualitative contextual knowledge that is often overlooked and difficult to incorporate into product development workflows.
Learn more at https://santafe.edu
Follow us on social media:
twitter.com/sfiscience
instagram.com/sfiscience
facebook.com/santafeinstitute
facebook.com/groups/santafeinstitute
linkedin.com/company/santafeinstitute
Subscribe to SFI's official podcasts:
complexity.simplecast.com
aliencrashsite.org
