DHS Science and Technology Directorate (S&T) releases Artificial Intelligence (AI) and Machine Learning (ML) Strategic Plan Amidst Flurry of USG-wide AI/ML RFIs
An artificial intelligence security strategy (see “Securing AI – Four Areas to Focus on Right Now”) should be the cornerstone of any AI and machine learning (ML) efforts within your enterprise. We also recently outlined the need for enterprises to further operationalize the logging and analysis of artificial intelligence (AI) related accidents and incidents based on an “AI Accidents” framework from the Georgetown University CSET. As a next step, we have taken the time to sort out the signal from the noise in the vast amount of solid research and not so great media coverage (or ‘think pieces’) AI and ML have garnered in the last five years. The best analysis is a sophisticated body of work on AI-related issues of morality, ethics, fairness, explainable and interpretable AI, bias, privacy, adversarial behaviors, trust, fairness, evaluation, testing and compliance.
As far as governmental contributions, what should be encouraging to industry players is the fact that AI/ML strategy is now very actionable at the policy, research and development and strategic partnership level across the USG.
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