NIH All of Us Program Policy Director Explains Ethical AI and the Role of Trust, Equity, Standards

“As researchers and federal agencies adopt and apply data and artificial intelligence in their work, experts in the medical space called for trust, equity and, ultimately, standards around AI to set ethical guardrails around the technology.”

“Trust and equity in AI are “inextricably linked,” said Stanford University Associate Professor Tina Hernandez-Boussard during GovernmentCIO Media & Research’s Data Insights event Thursday. When developing AI, researchers must be mindful of bias in health data in AI algorithms that could lead to bias and diminished trust in the models.”

“’When we’re developing these technologies, we need to be very sensitive to that information,’ Hernandez-Boussard said. ‘We need to be very sensitive to the types of data that we use in these algorithms, who it represents and how we can do a better job being more open and transparent about the inconsistencies in the data, about the biases in the data.’”

“National Institute of Health All of Us Program Policy Director Katherine Blizinsky added that trust can be better built when researchers set clear boundaries around acceptable uses of data, consulting with groups that could be disproportionately and negatively impacted by potential bias. Group harm, she said, is a dangerous consequence of not building trust and equity into AI development.”

“’How do we approach those communities and solicit feedback on making policies that make sense for them and make policies that prevent that group harm,’ Blizinsky said. ‘We are in the process of learning how to do that, but it is something that we need to be committed to if we’re going to be successful.’”

“Hernandez-Boussard doubled down on collaboration with stakeholder communities in developing AI. Diverse teams within a research team, as well as across affected communities, can help clinicians and policymakers think differently about addressing certain questions or inquiries in research with algorithms…” Read the full article here.

Source: Ethical AI and the Role of Trust, Equity, Standards — By Melissa Harris, April 30, 2021. GovernmentCIO.

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