Artificial Intelligence (AI) is evolving rapidly, promising transformative impacts across society. However, with this growth comes a need to address the limitations and ethical challenges that AI presents. The newly proposed field, Cybernetics Artificial Intelligence (CAI), seeks to integrate cybernetic principles—such as feedback control, causality, and system optimization—into AI. This approach not only promises to enhance the technical capabilities of AI but also aims to foster a more ethical framework for its development and application.
Cybernetics, founded by Norbert Wiener, emphasizes the study of control systems in both living organisms and machines. By applying these principles to AI, CAI could provide more reliable, interpretable, and ethically grounded AI applications, reducing risks like job displacement, privacy concerns, and biased decision-making.
As we move into the era of Industry 5.0, balancing technology with human-centered values is crucial. CAI advocates for an "Anthropocentric Revolution," where AI developments are guided by a code of ethics and values, promoting transparency, responsibility, and respect for human rights. Such a balanced approach could prevent the “AI Winter” scenario and drive meaningful progress in AI for a sustainable, equitable future.
FullText: https://www.igminresearch.com/articles/html/igmin183
DOI Link: https://dx.doi.org/10.61927/igmin183
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