New Taxonomy Reveals The Five Different Faces Of AI In The Public Sector

The New Taxonomy Reveals The Five Different Faces Of AI In The Public Sector explains that there is no single, globally accepted definition of artificial intelligence, allowing different interpretations across organizations. The piece argues that governance is crucial regardless of the AI type being used, emphasizing that public-sector deployment must be overseen to prevent AI from creating more problems than it solves. It contrasts governance goals between sectors: private-sector AI governance focuses on governing organizations that create or deploy AI for business objectives, while public-sector governance aims to manage the exercise of governmental authority through AI while preserving democratic values and the rule of law. It provides a definition describing stewardship across development, procurement, use, and eventual retirement of AI systems. The article frames its next step as clarifying which category of AI is being considered to avoid “apples versus oranges” comparisons.