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: As AI is deployed on a larger scale, the associated risks will likely only increase—potentially having serious consequences for society at large, and even greater consequences for the companies responsible. From a business perspective, these potential consequences include everything from lawsuits, regulatory fines, and angry customers to embarrassment, reputation damage, and destruction of shareholder value. Yet with AI now becoming a required business capability—not just a “nice to have”—companies no longer have the option to avoid AI’s unique risks simply by avoiding AI altogether. Instead, they must learn how to identify and manage AI risks effectively. In order to achieve the potential of human and machine collaboration, organizations need to communicate a plan for AI that is adopted and spoken from the mailroom to the boardroom. 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.