Encouraging a culture of ethical awareness and action
As new AI technologies emerge, evolve, and expand in the ever-changing industry landscape— we have only just begun to scratch the surface of how they can be implemented and leveraged to improve our lives. But, as with any technology, AI can be applied constructively and destructively, unpacking a distinctive set of challenges. With every new advancement, concerns such as discriminatory behavior and unintended biases against protected features, violations of privacy regulations, limited consumer trust, and legal implications have come to the fore. Refraining from considering these challenges is no longer an option.
As we approach the exciting opportunities AI creates one use case at a time; we must carefully examine its darker side. To do this, we need to ask ourselves some difficult questions:
Responsible AI Framework
Principles
Behaviors
Enablers
Privacy & Safety Respect and protection from misuse Social well-being & planet-inclusive Cost-benefit analyses for net positive on humans, society and planet
Contestability Newspaper test
Codebase Plug-ins/Cloud agnostic APIs
Human-Centricity Evaluate biases
Chief RAI RAI diagnostic & Committees
Ensure equitable outcomes Fairness & Equity
Adaptability Augment signals and update
Education Certifications Adoption Nudge toolkit Circular Design ESGdiagnostic Synthetic Data Privacy by design
Reliable, repeatable outcomes Robustness & Stability
Upskilling - Future of Work Unlearning, relearning positively
Accountability Humans responsible/governance
Explainability Decision factors traceable
Transparency All deserve white-box decision choices
Attribution Copyright infringement and monetization
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