100% OFF- AI trustworthiness 101 for product builders

The intro course provides high-level, foundational information on trustworthy AI for tech professionals, AI builders, vibe coders and entrepreneurs.

Take this brief course to gain clarity on what trustworthy AI is and why it’s important to bridge the gap between high-level concepts of trust and the realities of operationalizing and productizing trust.

There are four main discussions:

• Trust in AI:
  • Why trust matters
  • Trust on a macro and micro level
• Mechanics and Definitions of Trust:
  • Societal acceptance of innovation
  • Definitions of trust
  • “Shadow strategy” behind AI’s social acceptance
• Contextualizing AI Trustworthiness:
  • Trust can be assessed modularly
  • Role of risk in decoding trustworthiness characteristics
  • 5 key characteristics of trustworthiness and 40+ sub-characteristics
• The Role of Product in Trustworthy AI:
  • The roles product managers play in productizing trustworthy AI.
  • An overview of how trustworthiness can be integrated into product strategy.

This short, foundational primer is the short, high-level result after thousands of hours researching and working at the intersection of of responsible AI, social impact, enterprise governance, and early stage tech products.

Complete this free course to receive an invitation to take a more in-depth, interactive course on Applied Trustworthy AI, which will also offer feedback on your own product(s) AI trustworthiness.