Artificial Intelligence

AI vs. Lawyer: I rest my case by Miriam Gilbert

It’s another milestone in the race to artificial superintelligence:

A study conducted by legal AI platform LawGeex in consultation with law professors from Stanford University, Duke University School of Law, and the University of Southern California, pitted twenty experienced lawyers against an AI trained to evaluate legal contracts. Their 40-page report details how AI has overtaken top lawyers in accurately spotting risks in everyday business contracts.

The Participants:

Is Artificial Intelligence taking over HR? by Ankita Poddar

When the world began tinkering with artificial intelligence and machine learning, they were hardly a threat. Then Deep Blue and AlphaGo came along. The world began to realize that it is possible that under certain defined situations, AI could be smarter than human beings are. Then AlphaGo Zero came along and nightmares of world dominance re-emerged.

The Future of Human Resources in the Age of Automation by Max Blumberg

We’ve all seen films where Artificial Intelligence replaces humans on-mass – and much debate swirls around just how much of this could ever be a reality.

Meet Erica – perhaps the world’s most advanced, human-like robot yet. She demonstrates that we may not be too far away from silver-screen-like AI workers.

https://www.youtube.com/watch?v=MaTfzYDZG8c

Enabling data-driven hiring decisions - the marriage of behavioural science, data science and AI technology

The introduction of artificial intelligence (AI) technologies into the world of HR and recruitment is not just an idea anymore, it is a reality. Neural networks, machine learning and natural language processing are all being introduced into different areas of HR.

These developments contribute to the function’s increased accessibility to data-driven insights and analytics, enabling better-informed people decisions.

A New Era For Big Data in Procurement: A global approach to data, supported by technology by Bertrand Maltaverne

As illustrated by the quote below, the case for data in business is not a new one, nor one that needs to be much discussed. The purpose is, and always was, to collect sufficient data (and not too much, ‘infobesity’ and ‘analysis paralysis’ are well-known pitfalls in that area) to make the right choices, with the maximum number of possibilities, whilst acknowledging that decisions are a sort of bet on the future and its uncertainties.

AI’s future impact in Talent Management Programs by Jackson David

#AI #Recruitment #TalentAcquisition #TalentManagement

Artificial Intelligence has been a topic of conversation for decades. You do not have to go too far back to see cinema that hinted at it in the 1940’s to films that pushed us out of our comfort zone for AI, like “Star Wars” and “Blade Runner”. As we think about AI from a sci-fi point of view, it is fun, innovative and entertaining. The same should be said for bringing AI to the masses in a more meaningful way, like around engagement and interaction with talent and within teams.