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Shaping AI to Serve Everyone | Dr. Abhilash Mishra at Oxford

[HPP] Joy BuolamwiniSeptember 25, 202518 min
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Equitech Futures: Empowering Global Innovators

  • πŸ’‘ Equitech Futures is an innovation lab and technology fellowship founded by Dr. Abhilash Mishra, supporting emerging innovators from over 60 countries to build AI tools for societal challenges.
  • 🎯 The program focuses on recruiting individuals based on their community work and problem-solving efforts, rather than traditional academic metrics like GPA or CVs.

Applying Scientific Rigor to AI & Policy

  • πŸ”¬ Dr. Mishra applies lessons from his astrophysics career, emphasizing experimentation and data-focused approaches, to social policy and technology design.
  • βœ… This empirical method helps to question assumptions and test solutions in different contexts, moving beyond dogma in social policy.

Addressing AI Exclusion and Inequality

  • ⚠️ A major AI harm is exclusion, as many tools assume access to high-quality internet and smartphones, which is unavailable to the global majority (4-5 billion people).
  • πŸ’¬ AI tools often lack contextualization for local problems and assume English literacy, leading to failures in regions like South Asia and Africa and increasing global inequalities.

Diversifying AI Development

  • πŸš€ To rebuild trust and ensure equitable AI, it's crucial to increase the pool of innovators from overlooked communities and regions, including underserved areas in the West, Africa, and South Asia.
  • πŸ”‘ This shift gives individuals and communities a "seat at the table" in shaping technology, moving beyond being passive consumers.

The Future of AI and Workforce Skilling

  • 🧠 The primary concern regarding AI and jobs is the outdated training and skilling systems, which are currently under attack from policymakers.
  • πŸ“ˆ Policymakers have a critical role in ensuring wider access to learning opportunities to prevent a "jobs catastrophe" and adapt to evolving technological skill requirements.
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What’s Discussed

AI toolsSocietal challengesInnovationTechnology fellowshipSocial policyData-focused approachAI harmExclusionGlobal SouthGlobal inequalitiesWorkforce skillingPolicy makersApplied researchRole modelsComputer vision systems
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