Musings, Ideas and Possible Insights From Behavioral and Complexity Economics And Their Implications for Legal and Regulatory Regimes in Artificial Intelligence/Machine Learning (AI/ML) Digital Space and the Post-COVID World Working Paper Prepared by Dr. Derek Ireland Economic Policy Consultant And Fellow at
The major argument of the working paper is that: (a) the manifold two-way interactive effects and feedback loops between these four sources of AI/ML and related digital and non-digital complexity and uncertainty, will (b) make the decision making of AI/ML creators, users, and consumers, other digital market participants, governments and their legal and regulatory authorities, and non-state regulators, and therefore virtually all of us, (c) much more difficult, challenging, uncertain, and complicated, as (d) the global economy and other economies at national and sub-national spatial scales, move through the post-COVID recovery period and attempt to fully recover from the global pandemic and related crises and polycrises of recent years. The common theme that cuts across and binds together all of the other AI/ML themes throughout the working paper is the importance of and interactions between AI/ML complexity, uncertainty, contingency, and ambiguity.
Ireland, Derek John, Musings, Ideas and Possible Insights From Behavioral and Complexity Economics And Their Implications for Legal and Regulatory Regimes in Artificial Intelligence/Machine Learning (AI/ML) Digital Space and the Post-COVID World Working Paper Prepared by Dr. Derek Ireland Economic Policy Consultant And Fellow at (March 12, 2025). Available at SSRN: https://ssrn.com/abstract=