Summary

(Fjeld, 2020)
Three dozen prominent AI principles documents formed the basis for a report on AI ethics that Fjeld and Nele Achten, Hannah Hilligoss, Adam Christopher Nagy and Madhulika Srikumar released last week
" thirty-six documents in the Principled Artificial Intelligence were curated for variety, with a focus on documents that have been especially visible or influential.".
In the documents, the researchers found eight common themes that could form the core of any principle-based approach to AI ethics and governance:
Privacy -- AI systems should respect the privacy of individuals.
Accountability -- Mechanisms must be in place to ensure AI systems are accountable, and remedies must be in place to fix problems when they're not.
Safety and Security -- AI systems should perform as intended and be secure from compromise.
Transparency and Explainability -- AI systems should be designed and implemented to allow oversight.
Fairness and Nondiscrimination -- AI systems should be designed to maximize fairness and inclusivity.
Human Control of Technology -- Important decisions should remain under human review.
Professional Responsibility -- Developers of AI systems should make sure to consult all stakeholders in the system and plan for long-term effects.
Promotion of Human Values -- The ends to which AI is devoted and the means by which it is implemented should promote humanity's well being.

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