AI & the Future of Work: Do we have the right tools?

Technology Untangled

Hewlett Packard Enterprise

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5.0 • 69 Ratings

🗓️ 6 April 2021

⏱️ 38 minutes

🔗️ Recording | iTunes | RSS

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Summary

The future of work is changing, fast. AI is making waves in all kinds of industries, but despite the incredible results we're able to achieve, when it comes to the world of work, there are a lot of misconceptions...

Transcript

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0:00.0	Last episode, we spoke a little bit about FARML, a neuronet trained on a supercomputer at the cutting edge of molecular science.
0:13.1	And it's not just science. AI is making waves in all kinds of industries, but despite the incredible results we're able to achieve,
0:22.3	when it comes to the world of work, there are a lot of misconceptions.
0:28.1	AI will take my job. AI is a robots. AI and science fiction. The fact that AI is a black
0:34.0	box. I don't understand what happens inside it. And there's lots of confusion
0:38.4	about AI and ethics. This week, we looked at AI and the future of work from job displacement
0:45.3	to educating the next generation to find out where AI can be used to change our jobs for
0:51.6	the better, how automation and algorithms are affecting employees right now,
0:57.0	and how long I've got before I get replaced by a text-to-speech program. My goodness. All that and
1:05.2	much more. I'm Michael Bird, and this is Technology Untangled.
1:29.1	A recent survey by the European Commission found that 42% of companies already use at least one form of AI, with another 20% planning to adopt it in the next two years.
1:36.6	Like many people, your first thought might be, is AI going to take my job?
1:42.0	And it's a fair question.
1:44.0	After all, technology has been making jobs
1:46.4	obsolete for centuries. And it's actually what I asked Matt Armstrong Barnes, chief technologist
1:51.0	of artificial intelligence at Hewlett-Packard Enterprise. Job displacement is happening. The job landscape
1:57.9	is changing as a result of the fourth industrial revolution.
2:02.3	Robots are a significant factor in that. Just looking at the AI piece, what we need to think about
2:08.5	is what's air-great at, classification and regression and doing things at scale. A lot of the
2:14.1	problems AI is tackling can't be done by human beings anyway.
2:18.7	Good point. The first thing to note is the separation of AI and robotics. These are actually
2:24.3	totally different fields. They do overlap in the form of artificially intelligent robots, but
	...

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