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AI's Blindspots

Explore AI's hidden biases in healthcare. This 3-part series, "AI's Blindspots," uncovers data dilemmas, unequal outcomes, and offers actionable strategies for building fair, equitable, and trustworthy AI in health tech. Essential reading for biopharma, developers, and healthcare leaders.

A diverse group, including a doctor, gathered around a table, actively discussing data displayed on a glowing screen, representing health AI collaboration.

A diverse group, including a doctor, gathered around a table, actively discussing data displayed on a glowing screen, representing health AI collaboration.

AI’s Blindspots (Part 3 of 3): Toward Fair AI

Achieving equity in health AI can be effectively navigated through the 3 D’s: Data, Design, and Deployment.

CROSS Global Research & Strategy,LLC

Aug 2, 20253 min read

AI’s Blindspots (Part 2 of 3): Unequal Outcomes

AI’s Blindspots (Part 2 of 3): Unequal Outcomes

AI’s Blindspots (Part 2 of 3): Unequal Outcomes

"AI can scale innovation—but it can just as easily scale injustice. Technology is not neutral simply because it is new."- Dr. Shakira J. Grant

Dr. Shakira J. Grant

May 23, 20253 min read

AI’s Blindspots (Part 1 of 3): The Data Dilemma

AI’s Blindspots (Part 1 of 3): The Data Dilemma

AI’s Blindspots (Part 1 of 3): The Data Dilemma

AI doesn't correct for history- it repeats it, faster and at scale.

Dr. Shakira J. Grant

May 12, 20253 min read

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