A new taxonomy is emerging to differentiate various types of artificial intelligence, moving beyond the common perception that all AI is the same, particularly with the rise of generative AI and large language models. This classification is crucial because lessons learned and applications of AI are highly dependent on the specific type of AI being used, preventing misleading comparisons between different AI technologies. The taxonomy highlights the evolution from earlier forms like expert systems to newer hybrid or neuro-symbolic AI, emphasizing the need for robust AI governance regardless of the AI type, especially in the public sector where democratic values and the rule of law must be preserved. AI
IMPACT Clarifies the diverse landscape of AI technologies, enabling more precise discussions and applications in the public sector.
RANK_REASON The item discusses a new taxonomy for AI types and the importance of AI governance, which is an analytical commentary rather than a specific event.
- Expert Systems
- Forbes
- generative artificial intelligence
- Hybrid Ai
- Knowledge-Based Systems
- large-language models
- neuro-symbolic AI
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