AI Weekly: How to implement AI responsibly

Implementing AI responsibly implies adopting AI in a manner that's ethical, transparent, and accountable as well as consistent with laws, regulations, norms, customer expectations, and organizational values. "Responsible AI" promises to guard against the use of biased data or algorithms, providing an assurance that automated decisions are justified and explainable. According to Boston Consulting Group (BCG), less than half of enterprises that achieve AI at scale have fully mature, responsible AI deployments. Organizations' AI programs commonly neglect the dimensions of fairness and equity, social and environmental impact, and human-AI cooperation, BCG analysts found. The Responsible AI Institute (RAI) is among the consultancies aiming to help companies realize the benefits of AI implemented thoughtfully.