Spectacular recent developments in Artificial Intelligence (AI) are feeding many fantasies in the world of cybersecurity. Almost everything can be heard on the topic, from the looming obsolescence of even the best defence solutions to an open war between AIs developed by various tech powers – including states. It often feels very complicated for executives to prepare themselves for what’s ahead.
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.
Part 4 — What do we want?
Part 3 — Who to trust?
Part 2 — Who is accountable?
Part 1 — Who is control?
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.
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.
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.
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.