AI Code
One of the recommendations of the report is for a cross-sector AI Code to be established, which can be adopted nationally, and internationally. The Committee’s suggested five principles for such a code are:
Artificial intelligence should be developed for the common good and benefit of humanity.
Artificial intelligence should operate on principles of intelligibility and fairness.
Artificial intelligence should not be used to diminish the data rights or privacy of individuals, families or communities.
All citizens should have the right to be educated to enable them to flourish mentally, emotionally and economically alongside artificial intelligence.
The autonomous power to hurt, destroy or deceive human beings should never be vested in artificial intelligence.
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COVID-19 is a wicked problem for policy makers internationally as the complexity of the pandemic transcends health, environment, social and economic boundaries. Many countries are focusing on two key responses, namely virus containment and financial measures, but fail to recognise other aspects. The systems approach, however, enables policy makers to design the most effective strategies and reduce the unintended consequences. To achieve fundamental change, it is imperative to firstly identify the "right" interventions (leverage points) and implement additional measures to reduce negative consequences. To do so, a preliminary causal loop diagram of the COVID-19 pandemic was designed to explore its influence on socio-economic systems. In order to transcend the "wait and see" approach, and create an adaptive and resilient system, governments need to consider "deep" leverage points that can be realistically maintained over the long-term and cause a fundamental change, rather than focusing on "shallow" leverage points that are relatively easy to implement but do not result in significant systemic change
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