Title: ‘Trustworthy AI’ is a framework to help manage unique risk | MIT Technology Review
Headings: ‘Trustworthy AI’ is a framework to help manage unique risk
Artificial intelligence
‘Trustworthy AI’ is a framework to help manage unique risk
With the continued rapid expansion of artificial intelligence, businesses are facing challenges that are more human than machine.
The Trustworthy AI framework
1. Fair, not biased
2. Transparent and explainable
3. Responsible and accountable
4. Robust and reliable
5. Respectful of privacy
6. Safe and secure
AI you can trust

Content: By having an ethical framework in place, organizations create a common language by which to articulate trust and help ensure integrity of data among all of their internal and external stakeholders. Having a common framework and lens to apply the governance and management of risks associated with AI consistently across the enterprise can enable faster, and more consistent adoption of AI. The Trustworthy AI framework
To better address the challenges related to AI ethics and governance—it helps to leverage a framework. Deloitte’s Trustworthy AI framework introduces six key dimensions that, when considered collectively in the design, development, deployment, and operational phases of AI system implementation, can help safeguard ethics and build a trustworthy AI strategy. The Trustworthy AI framework is designed to help companies identify and mitigate potential risks related to AI ethics at every stage of the AI lifecycle. Here’s a closer look at each of the framework’s six dimensions. The Trustworthy AI framework
1. Fair, not biased
Trustworthy AI must be designed and trained to follow a fair, consistent process and make fair decisions. It must also include internal and external checks to reduce discriminatory bias. Bias is an ongoing challenge for humans and society, not just AI.