A unified framework of five principles for AI in society

Published on
June 30, 2023
Authors
Subscribe to newsletter
By subscribing you agree to with our Privacy Policy.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Benevolence, non-maleficence, autonomy, justice and explainability

In a groundbreaking study published in the Harvard Data Science Review, renowned scholars Luciano Floridi and Josh Cowls have unveiled a unified framework comprising five fundamental principles to guide the ethical implementation of artificial intelligence (AI) in society. Their research addresses the pressing need for a comprehensive set of guidelines to ensure that AI technologies serve the best interests of humanity.

The five principles put forth by Floridi and Cowls encompass benevolence, non-maleficence, autonomy, justice, and explainability. By adhering to these principles, AI developers and practitioners can navigate the complex landscape of ethical considerations and create AI systems that contribute to positive societal outcomes.

The significance of this framework extends beyond academia, as it offers valuable guidance to policymakers and industry leaders. It provides a reliable roadmap for decision-makers seeking to strike the delicate balance between technological advancement and safeguarding human values.

Floridi and Cowls' research establishes an essential foundation for responsible AI development, ensuring that the potential benefits of AI are harnessed while mitigating potential risks. Their work contributes significantly to the ongoing discourse surrounding the ethical implications of AI and sets a promising path for the future of AI technology.

Publication Date
July 1, 2019
By subscribing you agree to with our Privacy Policy and provide consent to receive updates from our company.
By subscribing you agree to with our Privacy Policy and provide consent to receive updates from our company.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.