Title: 4 steps to developing responsible AI | World Economic Forum
Headings: 4 steps to developing responsible AI
4 steps to developing responsible AI
1. Governance
2. Design
3. Monitoring
4. Reskilling
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Content: Most of these organizations offer ethics training to their technology specialists. However, the remaining 30% either do not offer this kind of training, are unsure if they do, or are only just considering it. As AI capabilities race ahead, government leaders, business leaders, academics and many others are more interested than ever in the ethics of AI as a practical matter, underlining the importance of having a strong ethical framework surrounding its use. But few really have the answer to developing ethical and responsible AI. Responsible AI is the practice of designing, building and deploying AI in a manner that empowers people and businesses, and fairly impacts customers and society – allowing companies to engender trust and scale AI with confidence. It is imperative for business leaders to understand AI and make a top-down commitment to the responsible use of AI. Central to this is taking a human-centric approach to AI thinking and development. It is not enough to have the correct data, or an algorithm that performs accurately. It is critical to incorporate systems of governance, design and training that provide a framework for successfully implementing AI in an organization. A strong Responsible AI framework entails mitigating the risks of AI with imperatives that address four key areas: