Engineering Culture by InfoQ

Building Responsible AI Culture: Governance, Diversity, and the Future of Development

8 snips
Feb 14, 2025
Guest
Inna Tokarev Sela
Inna Tokarev Sela, CEO of illumex and an expert in graph technology, shares her insights on implementing generative AI in development teams. She emphasizes the crucial need for robust governance and explainability to foster trust in AI systems. The conversation highlights initiatives for gender balance in tech, including successful mentorship programs for women and flexible work policies. Inna also discusses the cultural shift that AI brings to software engineering, streamlining mundane tasks and increasing enthusiasm among developers.
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ADVICE

Generative AI and Team Culture

  • Understand how generative AI impacts your team's culture.
  • Educate your team on the possibilities and accelerate adoption.
INSIGHT

Generative AI Governance Challenges

  • Generative AI models are currently black boxes, making governance difficult.
  • Traditional data governance practices aren't sufficient for AI; interaction governance is also crucial.
ADVICE

Implementing AI Governance

  • Implement observability on three layers: data, governance, and explainability.
  • Involve domain experts in governance to resolve data conflicts and ensure appropriate data usage.
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