AI Ethics: From Principles to Practice by IBM

AI ethics is a multidisciplinary field of study aiming to optimize the beneficial impact of AI by prioritizing human agency and well-being while reducing the risks of adverse outcomes to all stakeholders. A central theme in AI ethics is the notion of trust between people and technology, leading to the definition, development, and use of what is considered trustworthy AI.

In the past several years, most leading companies have defined high-level principles for AI ethics and operationalized them through concrete activities, including education, training, methodologies, and technical tools, all tailored to their business model and ultimately advancing trustworthy AI.

In this video Francesca Rossi, an IBM Fellow and the IBM AI Ethics Global Leader, talks about the principles and implementation of AI ethics, and how companies can use this experience to accelerate their path of building and using AI to benefit all stakeholders.

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