Life 3.0: Being Human In The Age Of AI By Max Tegmark

Max Tegmark, professor of physics at MIT, comes to Google to discuss his thoughts on the fundamental nature of reality and what it means to be human in the age of artificial intelligence. Max Tegmark is a renowned scientific communicator and cosmologist, and has accepted donations from Elon Musk to …

7 Ways To Build Fairer Data-Informed Culture For Human Resource [HR]

According to LinkedIn’s talent solution report “The Rise of Analytics in HR – An Era of Talent Intelligence” – people data and analytics is now one of the hottest, most in-demand skills for HR professionals and ranks as one of the most important human capital trends for organizations today. Companies …

The Human Side Of Data | Interview With Jad Abou-Maarouf – Chief Data Officer At Fulton Bank

Often, when we talk about data we think about the bits and bytes, the aspects of storage, and processes and methods for manipulating that data to provide the value we are looking for. However, it’s easy to forget that behind the data are often people that the data represents. For …

Algorithms Alone Can’t Solve Complex Human Problems – UK Exam Results U-Turn

Exam results decided by an Ofqual algorithm for up to 97% of A-level and GCSE students in England will now be scrapped and the projected ‘mock’ grades decided by individual teachers will be reinstated, in a humiliating U-turn for the government. The controversial algorithm, implemented to give standardized grades to …

Will Computers Ever Think Like Human Beings? A Talk By Vinton G. Cerf

The rise of artificial intelligence has seen computers beating chess experts and performing incredibly complex tasks. But why can’t they think the same way we do? We have built incredibly powerful, multi-layered, neural networks capable of learning incredibly quickly and carrying out seemingly impossible tasks, but they still can’t always …

Conversational Pattern Of AI – Machines That Can Understand Human Speech

Early on in the evolution of artificial intelligence, researchers realized the power and possibility of machines that are able to understand the meaning and nuances of human speech. Conversation and human language is a particularly challenging area for computers, since words and communication is not precise. Human language is filled with nuance, context, cultural and societal depth, and imprecision that can lead to a wide range of interpretations. If computers can understand what we mean when we talk, and then communicate back to us in a way we can understand, then clearly we’ve accomplished a goal of artificial intelligence.