According to DeepLearning.AI on Twitter, the newly launched 'Governing AI Agents' course, developed in collaboration with Databricks and taught by Amber Roberts, delivers practical training on integrating AI governance at every phase of an agent’s lifecycle (source: DeepLearning.AI Twitter, Oct 22, 2025). The course addresses critical industry needs by teaching how to implement governance protocols to safeguard sensitive data, ensure safe AI operation, and maintain observability in production environments. Participants gain hands-on experience applying governance policies to real datasets within Databricks and learn techniques for tracking and debugging agent performance. This initiative targets the growing demand for robust AI governance frameworks, offering actionable skills for businesses deploying AI agents at scale.

According to @timnitGebru, there are increasing concerns about AI companies' environmental impact, labor exploitation, and data privacy practices, specifically referencing leaders like Dario Amodei. These issues highlight the urgent need for transparent reporting and ethical standards in AI development to address resource consumption, fair compensation for data labelers, and responsible data use (source: @timnitGebru, June 5, 2025). The AI industry faces mounting pressure to adopt sustainable practices and improve working conditions, creating business opportunities for companies prioritizing green AI, ethical sourcing, and privacy-compliant data solutions.