The video discusses the diligence competency within the AI fluency framework, emphasizing the importance of ethical and safety considerations in AI interactions.
Diligence is about taking responsibility for AI usage, ensuring that interactions are productive, rigorous, transparent, and accountable.
Viewers are encouraged to consider the implications of AI use, including who is affected by the AI's outputs and how to align interactions with ethical standards.
Diligence involves critical thinking about the AI systems used, including their training, data ownership, and privacy protection.
Creation diligence refers to the intentional selection and interaction with AI systems, understanding the specific expectations in different contexts (personal, academic, professional).
It's crucial to assess and communicate the role of AI in any work produced, maintaining transparency to build trust.
Transparency diligence focuses on being open about AI's involvement in content creation and decision-making, ensuring that all stakeholders are informed.
Maintaining honesty about AI contributions fosters collaboration and clarity among team members.