As part of our Algorithmic Bias Initiative, CAAI is excited to devote our annual conference to further efforts toward combatting algorithmic bias across domains. This year, we are focusing on the healthcare industry, and along with the Healthcare Initiative at Chicago Booth, will bring together healthcare professionals in industry and policy to advance the conversation around mitigating algorithmic bias to improve health outcomes. 

 

Join fellow practitioners from industry-leading healthcare organizations to share organizational and technical strategies to combat bias. Hear from policymakers and regulators interested in developing a shared understanding of how to best create a policy framework for responsible AI in healthcare. Don't miss the Conference on Applied AI 2022: Responsible AI in Healthcare, in Chicago and online, April 4-5.


Keynote Speaker

Aneesh Chopra

Aneesh Chopra, President, CareJourney

Aneesh Chopra is the President of CareJourney, an open data service that helps providers, payers and pharma market leaders make smarter decisions in the move to value. He co-founded its parent company, Hunch Analytics, a “hatchery,” incubating ideas that improve the productivity of health and education markets. In addition, Mr. Chopra is the former United States Chief Technology Officer. His work in public service focused on better public and private collaboration. He earned his master’s degree in public policy from Harvard University and his bachelor’s degree from The Johns Hopkins University. Chopra is the author of the book, “Innovative State: How New Technologies can Transform Government” focused on how we can tap entrepreneurial problem solvers to address challenges in health, energy and education markets.

Aneesh Chopra, President, CareJourney

Agenda

Day 1:

 Day 2:

Panel: Weighing Privacy Against Justice

  • Are there tradeoffs between privacy and justice?
  • What is a "fair algorithm" in healthcare?

Lunch Keynote with Aneesh Chopra

User Story: TBD

Panel: Interoperability and Data Standards

  • How can federal/state governments best support data sharing?
  • What steps should be taken to develop industry-wide data standards?

  Panel: Implementation and Feasibility

  • How should resources be allocated?
  • How can efforts to mitigate bias be scaled?

  User Story: TBD

  Panel: Accountability & Accreditation

  • Who is accountable for ensuring due diligence?
  • How do we define bias across organizational contexts?

 

Note: Final schedule to be determined.

Street art proclaiming "For All"

Conference on Applied AI 2022: Responsible AI in Healthcare

Don’t miss your chance to be part of the community driving real-world change through practical approaches to combatting algorithmic bias.

When: April 4-5, 2022

 

Who: Healthcare industry leaders, analytics professionals, diversity-equity-inclusion experts, policymakers/regulators

 

Where: Hybrid event in Chicago and online

 

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