The concept of responsible artificial intelligence (AI) is gaining traction, with many organizations now recognizing its role in mitigating technology's risks. However, the topic is largely misunderstood, and there are few resources explaining how to put it into practice. A common misconception is that responsible AI is simply about implementing AI in an ethical way. This could be due to increased awareness around potentially discriminatory outcomes that can result from AI solutions with bias. In fact, ethics is only one component of responsible AI – albeit an important one. Responsible AI is a comprehensive approach to practicing ethical AI while striving for accountability, compliance, and good stewardship to positively impact customers and empower organizations.
This white paper provides practical guidance on implementing AI solutions according to these principles.