In a rapidly advancing era of Artificial Intelligence, ensuring responsible AI practices has become a critical focus. Karunya Sampath, Co-founder & CEO, Payoda Technologies, shares valuable insights on the pillars of responsible AI development. From addressing fairness concerns to guaranteeing safety in critical domains and promoting inclusiveness, transparency, and accountability, Sampath provides a comprehensive perspective on navigating the complex landscape of AI ethics.
▾ Ensuring Fairness in Diverse Societal Contexts
Challenge of Fairness: Ensuring fairness in AI algorithms is an ongoing challenge, particularly in diverse and evolving societal contexts. AI developers can take several measures to address this issue. One important step is to curate and preprocess training data carefully to remove any existing bias. For instance, if historical data contains gender or racial bias, developers must work to mitigate these biases to ensure fair outcomes.
This story is from the November, 2023 edition of PCQuest.
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This story is from the November, 2023 edition of PCQuest.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
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