How IT leaders can embrace responsible AI - SiliconANGLE

When artificial intelligence augments or even replaces human decisions, it amplifies good and bad outcomes alike. There are numerous risks and potential harms created by AI systems, including bias and discrimination, financial or reputational loss, lack of transparency and explainability, or invasions of security and privacy. Responsible AI enables the right outcomes by resolving dilemmas rooted in delivering value versus tolerating risks. Responsible AI must be a part of an organization's wider AI strategy. Here are the steps that chief information officer and information technology leaders, in partnership with data and analytics leadership, can take to progress their organization towards a vision of responsible AI.