When algorithms inherit our prejudices, who is held responsible?
In short: AI systems now determine everything from your insurance premiums to your job prospects. This video explores how human biases are being coded into these machines and presents three strategies for building more ethical, diverse algorithms.
The core issue lies in the lack of diversity within the technology sector. When the teams building AI lack varied perspectives, human biases can unintentionally become part of the machine's logic. This creates a cycle where systemic inequalities are automated rather than solved.
Kriti Sharma argues that we must move toward more ethical algorithm design. By addressing the underlying lack of diversity in tech, we can begin to mitigate the ways these systems make life-altering decisions about individuals.
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Sources
- Summary by Intellect · source: Kriti Sharma: How to keep human bias out of AI
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