From artificial to organic: Rethinking the roots of intelligence for digital health
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Abstract (arXiv)
The term artificial implies an inherent dichotomy from the natural or organic. However, AI, as we know it, is a product of organic ingenuity: designed, implemented, and iteratively improved by human cognition. The very principles that underpin AI systems, from neural networks to decision-making algorithms, are inspired by the organic intelligence embedded in human neurobiology and evolutionary processes. The path from organic to artificial intelligence in digital health is neither mystical nor merely a matter of parameter count, it is fundamentally about organization and adaption. Thus, the boundaries between artificial and organic are far less distinct than the nomenclature suggests.
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7 of 27 references.
References · 7
- 2019A Survey on Bias and Fairness in Machine Learningcited by 1,917
- 2017Towards A Rigorous Science of Interpretable Machine Learningcited by 1,416
- 2016Semantics derived automatically from language corpora contain human-like biasescited by 901
- 2020The Next Decade in AI: Four Steps Towards Robust Artificial Intelligencecited by 195
- 2016The Off-Switch Gamecited by 97
- 2016On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Productscited by 52
- 2024Bio-inspired AI: Integrating Biological Complexity into Artificial Intelligencecited by 3
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