Explaining the Principles to Practices Gap in AI

Daniel Schiff, Bogdana Rakova, Aladdin Ayesh, Anat Fanti, Michael Lennon

Research output: Contribution to journalArticlepeer-review

31 Scopus citations


As artificial intelligence (AI) permeates across social and economic life, its ethical and governance implications have come to the forefront. Active debates surround AI's role in labor displacement, autonomous vehicles, military, misinformation, healthcare, education, and more. As societies collectively grapple with these challenges, new opportunities for AI to proactively contribute to social good (AI4SG) and equity (AI4Eq) have also been proposed [1], [2], such as Microsoft's AI for Earth program. These efforts highlight the potential of AI to address global challenges and help achieve targets like the United Nation's sustainable development goals (SDGs) [3]. Yet, whether AI efforts are directed explicitly at social good and equity or not, there are many barriers that stand between aspirations to be responsible and the translation of these aspirations into concrete practicalities.

Original languageEnglish
Article number9445790
Pages (from-to)81-94
Number of pages14
JournalIEEE Technology and Society Magazine
Issue number2
StatePublished - Jun 2021
Externally publishedYes

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