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: 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. However, the challenge is even greater for AI because it lacks a nuanced understanding of social standards—not to mention the extraordinary general intelligence required to achieve “common sense”— potentially leading to decisions that are technically correct but socially unacceptable. AI learns from the data sets used to train it, and if those data sets contain real-world bias then AI systems can learn, amplify, and propagate that bias at digital speed and scale. For example, an AI system that decides on-the-fly where to place online job ads might unfairly target ads for higher paying jobs at a website’s male visitors because the real-world data shows men typically earn more than women. Similarly, a financial services company that uses AI to screen mortgage applications might find its algorithm is unfairly discriminating against people based on factors that are not socially acceptable, such as race, gender, or age. In both cases, the company responsible for the AI could face significant consequences, including regulatory fines and reputation damage.