Practical AI Practical AI Ethics
Jul 14, 2020
Dive into the evolving landscape of AI Ethics, where the need for fairness, transparency, and collaboration is more important than ever. Discover strategies to embed ethical principles within organizations, especially amidst challenges like the COVID-19 pandemic. Explore the critical alignment of AI ethics with organizational policies, and the tools available to support responsible AI development. The conversation emphasizes the significance of creating effective governance frameworks to navigate the complexities of ethical tech implementation.
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Developing AI Principles
- Gather a diverse team representing all organizational functions.
- Discuss AI use cases, values, and desired outcomes to establish ethical principles.
Authenticity in AI Principles
- AI principles must be authentic and align with existing organizational policies.
- They should reflect the values of HR, sales, and engineering teams equally.
Adapting Existing Principles
- Start with existing AI principles from other organizations as examples.
- Customize them to fit your organization's specific context and values.
