Diligence
What you'll learn
- Understand the ethical implications of AI collaboration
- Understand the importance of transparency in AI work
- Recognize your responsibility in AI interactions and outputs
Key Takeaways
- Diligence is about taking responsibility for our AI collaborations.
- Creation Diligence involves being thoughtful about which AI systems we use and how we engage with them.
- Transparency Diligence means being honest about AI's role in our work with everyone who needs to know.
- Deployment Diligence requires taking responsibility for verifying and vouching for the outputs we use or share.
- Different contexts (personal, academic, professional) may have different expectations for disclosure and verification.
- Thoughtful Diligence helps ensure our AI collaborations are not only effective and efficient, but also ethical and safe.
You Need
- Taking responsibility
- Rigorous, transparent, and accountable
- Consider border questions
- Responsibility starts with awareness
Creation Diligence
Your ability to be critical and intentional about which AI systems you choose to use and how you use them
- The AI systems that we use
- How we work with them
- The impacts that come from that interation
Transparency Diligence
- Who needs to know?
- How should I communicate this?
- What level of details is needed?
Deployment Diligence
- Verify facts
- Check for biases
- Ensure accuracy
- Check for usage rights
Ethical Frameworks
- Personal guidances
- Organizational polices
- Professional standards
- Industry codes of conduct
- Legal and regulatory frameworks
- Staying informed is an important part of diligence
Downloads
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