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.
#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.
There is an important issue in the world of Procurement. While the future of the function is at stake, too many CPOs and Procurement organisations are looking at the future of Procurement solely through a technological prism and consider technology as the end (when it is the means to an end).
It is no surprise then that the questions that are at the top of their agenda are centered around what technology (RPA, blockchain, big data, AI,…) they should focus on and implement. It is as if this or that piece of technology would magically fix all of their problems.
Although modern AI algorithms are pretty good at identifying data patterns, we’re still a few years away from losing our jobs to robots and smart voice assistants. Unless you possess unlimited financial resources and tech expertise, building neural networks as a primary business might not be a good idea. However, there are certain types of apps where AI (if used correctly!) can be a real game-changer.