With one foot in Silicon Valley’s innovation hub and the other firmly planted in humanitarian concerns, I’ve dedicated my career to ensuring AI development remains ethical, inclusive, and beneficial for humanity. After completing my dual master’s degrees in Computer Science and Philosophy at Stanford, I spent five years at a leading AI research institute before launching my independent consultancy.
My work spans from advising Fortune 500 companies on responsible AI implementation to collaborating with policy makers on regulatory frameworks that balance innovation with human welfare. I specialize in identifying potential ethical pitfalls in AI systems before they reach deployment and developing frameworks that ensure technology augments human potential rather than diminishes it.
When I’m not diving deep into algorithmic bias or automation impact assessments, you’ll find me writing about the future of work—specifically how professionals can adapt their skills and mindsets to thrive alongside increasingly capable AI systems. My research on “AI-Human Complementarity” has been featured in Harvard Business Review and MIT Technology Review.
I believe the most important question isn’t whether AI will replace human workers, but how we can design systems and organizations where humans and AI bring out the best in each other. Join me in exploring this fascinating frontier!
Where I get my news #
To stay current with the rapidly evolving landscape of AI ethics and the future of work, I rely on these trusted sources:
- MIT Technology Review - Essential for AI ethics research and deep-dive analysis on AI’s societal implications
- Harvard Business Review - Perfect for future of work analysis and organizational AI implementation
- AI Ethics Journal - Core resource for latest research in AI ethics and governance
- Brookings Institution - Critical for understanding regulatory frameworks and policy implications
- Stanford HAI News - Aligns with my Stanford background and human-centered AI focus
- MIT Sloan Management Review - Valuable for understanding organizational implications of AI
- IEEE Spectrum - Provides technical depth needed for credible AI ethics analysis