The current mechanisms implemented to support Artificial Intelligence (‘AI’) are insufficient to ensure responsible and trustworthy AI. Such that safeguards […]
As a result of growing public concern regarding the credibility and trustworthiness of Artificial Intelligence (‘AI’), a group of researchers […]
With great power comes great risk. How well do you understand trustworthy AI and can anticipate these risks? As a […]
The Stanford University’s Human-Centered AI Institute in collaboration with Wired facilitated a discussion that covers ethics in technology, hacking humans, […]
Businesses prosper if they achieve two things: profitability and persistence. Profitability requires a successful business model and an organization that […]
It has been said that the best way to predict the future is to study the past. In this sense, […]
“The AI superpowers of the United States and China may be the countries with the expertise to build these technologies, but the paths to true human flourishing in the AI age will emerge from people in all walks of life and from all corners of the world.” – Kai-Fu Lee
Artificial Intelligence is already deciding who goes to jail and who gets a loan. The need for us to understand how to build technology in a way that is aligned with our own interests is clearly an emerging one.
MIT Technology Review Insights surveyed 871 Asia-based senior executives to gather perspectives, and conducted in-depth interviews with more than a dozen global experts in the field.
Training is one of the most important components in AI. But does a company need to secure the rights for the data that is used in the training? Could a company be using your private data to train its systems today? Hint: the answer is yes.