34. AI ethics is science, not just philosophy - a practical guide with Reid Blackman

Data Democratization: Stories about data, AI and privacy

Author of a best-seller book for AI ethics, Ethical machines, Reid's mission is to educate business leaders about the practical reality of AI ethics. Business leaders need to understand ethics if they care about their brands. As Reid says, you can't math your way out of AI bias. Issues of ethics need to be addressed head-on, and those at the top must understand the nuances of operationalizing AI ethics and running AI systems to do so. Tune in to this episode of the Data Democratization Podcast to learn:

• why ethics is not a fuzzy topic and how to properly operationalize it,
• why businesses should hire AI ethicists and why lawyers can't do the job of an ethicist,
• how to think about AI ethics,
• how to build an AI risk mitigation program,
• what are the pitfalls and best practices for implementing AI ethics,
• how to buy AI solutions and prepare procurement for the challenges of purchasing responsible AI products,
• the difference between responsible AI, ethical AI, and trustworthy AI,
• how to write an AI ethics statement that actually does its job,
• what's the difference between global explainable AI (XAI) and local XAI

Reid is a regularly published author at Harvard Business Review. If you would like to learn more about his work, read his article entitled Everyone in Your Organization Needs to Understand AI Ethics.