New Taxonomy Reveals The Five Different Faces Of AI In The Public Sector
InnovationAINew Taxonomy Reveals The Five Different Faces Of AI In The Public SectorByLance Eliot,Contributor.Forbes contributors publish independent expert analyses and insights. Eliot is a world-renowned AI scientist and consultant.Follow AuthorJul 24, 2026, 03:15am EDTSummaryA new analysis highlights that not all AI is the same, despite common perceptions treating it as a monolithic entity. This lack of differentiation hinders effective understanding, application, and governance of AI, particularly in the public sector.
- ▪InnovationAINew Taxonomy Reveals The Five Different Faces Of AI In The Public SectorByLance Eliot,Contributor.Forbes contributors publish independent expert analyses and insights.
- ▪Eliot is a world-renowned AI scientist and consultant.Follow AuthorJul 24, 2026, 03:15am EDTSummaryA new analysis highlights that not all AI is the same, despite common perceptions treating it as a monolithic entity.
- ▪This lack of differentiation hinders effective understanding, application, and governance of AI, particularly in the public sector.
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| Original publisher | Forbes — Business |
| Canonical URL | https://www.forbes.com/sites/lanceeliot/2026/07/24/new-taxonomy-reveals-the-five-different-faces-of-ai-in-the-public-sector/ |
| Publication time | Fri, 24 Jul 2026 03:15:00 -0400 |
| Retrieval time | 2026-07-24T07:20:55.075Z |
| Last seen | 2026-07-24T07:20:55.075Z |
| Headline source | Publisher (no WeSearch rewrite) |
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| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
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Opening excerpt (first ~120 words) tap to expand
InnovationAINew Taxonomy Reveals The Five Different Faces Of AI In The Public SectorByLance Eliot,Contributor.Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant.Follow AuthorJul 24, 2026, 03:15am EDTSummaryA new analysis highlights that not all AI is the same, despite common perceptions treating it as a monolithic entity. This lack of differentiation hinders effective understanding, application, and governance of AI, particularly in the public sector. Researchers often broadly categorize AI, making it difficult to assess specific impacts or best practices. A recent paper proposes a typology of five AI categories: hand-coded, glass-box, black-box, general-purpose, and agentic systems.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Forbes — Business.
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