The World After Covid-19
It has been said that the best way to predict the future is to study the past. In this sense, […]
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.
If data is the new oil as mentioned by mathematician Clife Humby, we need to treat it accordingly. Just as oil, data needs to be refined before its true value can be unlocked. How we are going to refine it is the question of the century.
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.
In times of a flood of emerging technologies promising to revolutionize different industries, it is mandatory that we have an adequate framework in place.
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.
Navigating the right to privacy in the digital age, and especially the artificial intelligence age: AI cannot function without data, […]
Is Apple unfairly restricting independent developers or is Apple on the leading edge of protecting users’ privacy? We will try […]