5 Considerations for Responsible AI

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With the rise of AI across all facets of society, ethics is proving to be the new frontier of technology. Public awareness, press scrutiny, and upcoming regulations are mandating organizations and the data science community to embed ethical principles in AI initiatives.

Questions should be asked about the fitness of the data used to train models, the risk to amplify human bias and discriminations, the explainability of predictions and decisions made with machine learning algorithms, and the human oversight in monitoring the fairness and transparency of AI applications.

Beyond the greater good and social responsibility, what is at stake is the successful adoption of AI technologies that have otherwise the potential to deliver tremendous value to organizations and society at large.

April 13
3 p.m. CET