A keynote on trustworthy data visualization, exploring trust in an era of fake results, AI confabulation, and data infrastructure decay.
A simple, five-step formula for building trust through reliability, clear communication, and consistent action in work and life.
A critique of AI-powered search tools like Arc Search, arguing they hide traditional search engines, raise trust issues, and harm web content creators.
Explores practical processes for building trust and ensuring ethics in AI development, focusing on transparency, bias, and security.
Explores practical aspects of building trust in AI systems, focusing on trust in the development process, results, and the company itself.
Explores the interconnected principles of trust, ethics, transparency, and accountability in the development and deployment of Artificial Intelligence systems.
