Policy Coherence for Artificial Intelligence

I came upon an interesting term in working with the sustainable development goals. I would argue it would be constructive to discuss this in relation to artificial intelligence.

Policy Coherence for Development (PCD) is an approach and policy tool for integrating the economic, social, environmental and governance dimensions of sustainable development at all stages of domestic and international policy making.

Why is this so interesting? Because policy coherence is about solving potential conflicts of objectives and interests between international co-operation and other sectoral policies of the various federal departments should be identified and resolved as far as possible.

One document goes further to identify this as: involving three building blocks:

  1. A political commitment that clearly specifies policy objectives;
  2. Policy co-ordination mechanisms that can resolve conflicts or inconsistencies between policies and maximise synergies;
  3. Monitoring, analysis and reporting systems to provide the evidence base for accountability and for well- informed policy making and politics.

This sounds a lot like part of the possible approach to artificial intelligence from the European Union. There are increasingly national strategies with policy objectives. Although the clearness of the policy objectives are not always present. There is also an AI observatory to analyse. However I am not sure whether there is any coordinating mechanism that can resolve conflicts between policies and maximise synergies, that remains to be seen.

This is #500daysofAI and you are reading article 247. I am writing one new article about or related to artificial intelligence every day for 500 days. My current focus for 100 days 200–300 is national and international strategies for artificial intelligence.



AI Policy and Ethics at www.nora.ai. Student at University of Copenhagen MSc in Social Data Science. All views are my own. twitter.com/AlexMoltzau

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