Companies often rush to implement responsible AI (RAI) programs without proper planning. This can lead to inefficient, difficult-to-scale efforts and wasted resources. To avoid these pitfalls, leaders should ask eight key questions to assess their readiness for RAI implementation, covering objectives, values, metrics, training, personnel, integration with other priorities, strategic roadmap, and implementation playbook.
When implementing responsible computing initiatives, companies run into a common problem: They rush to deploy their respective programs before they’ve finished designing them. The results are predictable: inefficient and difficult-to-scale efforts at managing AI’s ethical, reputational, and legal risks; wasted resources; and slowed innovation.
As companies devote resources to implementing AI, many realize that they need a strategy to manage the technology’s well-documented ethical, regulatory, and legal risks. A responsible AI program not only builds guardrails for particular AI solutions and the teams that manage them, but it also defines the enterprise-wide policy, governance structures, roles and responsibilities, processes, and more that enable wide-scale deployment of AI., PhD is the author of Ethical Machines .
Responsible AI AI Ethics AI Governance AI Risk Management AI Implementation
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