A Guide to Artificial Intelligence

Transparency

AI systems and processes should be open and clear about how decisions are made, including disclosing the data, algorithms, and assumptions behind their functionality, to ensure trust and accountability.

Justice, Fairness, and Equity

AI systems should not perpetuate bias or discrimination, and they should be designed to treat all individuals and groups equitably, addressing and mitigating any unfair outcomes.

Non-maleficence

AI systems should not be harmful to individuals or society, and the systems should avoid causing any unintended negative consequences.

Responsibility and Accountability

Developers, organizations, and users of AI systems should be held accountable for the outcomes of the technology, including ensuring ethical use and addressing any harm caused.

Privacy

AI systems should protect the personal information and data of individuals, ensuring that their data is not misused or exposed without consent.