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Companies are racing to adopt AI - but responsible AI is still an afterthought. Bias in AI systems has improved less than 5% in over a decade, AI agents can be compromised through prompt injection, and most organizations lack the strategy to deploy AI without creating new risks for their employees, customers, and reputation. In this episode of AI Made Simple: The Transformation Series, I'm joined by Toju Duke - AI advisor, author of Building Responsible AI Algorithms and Responsible AI in Practice, and former Google Responsible AI program lead - who now runs Diverse AI, building representative datasets for communities missing from current AI training data. In this conversation, we explore: • Why the AI bias problem has barely moved despite billions in AI investment • The real security risks of agentic AI and why full autonomy will backfire • How biased data leads to recruitment failures, misdiagnosis, and reputational damage for enterprises • What a responsible AI strategy actually looks like, and why it starts with leadership literacy Connect with Toju Duke: LinkedIn: / tojuduke Website: https://www.tojuduke.com/ Her Books: [Responsible AI](https://www.amazon.com/Responsible-AI...) [Building Responsible Algorithms](https://www.amazon.com/Building-Respo...) Connect with Valeriya: LinkedIn: / valeriya-pilkevich YouTube: / @aimadesimpletalks Podcast: https://aimadesimple.buzzsprout.com/ Need help building AI capability in your organization? Book a call: https://calendly.com/valeriyapilkevic...