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  • Artificial intelligence is already changing business in

  • the United States.

  • Researchers estimate that about 60% of jobs in

  • advanced economies could be impacted by AI.

  • Like with all technological revolutions, I expect there

  • to be significant impact on jobs.

  • I think if this technology goes wrong, it can go quite

  • wrong.

  • Some companies are already seeing the effects.

  • It basically does the job of 700 full time agents, and

  • it's happening probably at an unprecedented pace

  • compared to some other industrial revolutions that

  • we've seen historically.

  • There will be a time in the future where robots can do

  • most of what humans currently do.

  • We're not there yet, and shame on us if we end up

  • using it to make people worse off.

  • Congress so far has focused on research and risk

  • assessment across at least 15 laws on the subject, but

  • experts say there's more work to be done.

  • I've come to the conclusion that it's impossible for

  • Congress to keep up with the speed of technology.

  • Right now, their goal is to basically come up with

  • what's going to be a to do list for future years.

  • As the development of AI speeds up, politicians are

  • looking into robot taxes, 32 hour workweeks, deepfake

  • mitigation and robocalls to confront the looming risks.

  • Will the US government be able to control AI tools?

  • Artificial intelligence is making workers more

  • productive.

  • Productivity comes from improvements in technology.

  • The steam engine was a big technology that that raised

  • living standards. Electricity, computers and

  • now artificial intelligence is the great general purpose

  • technology of our era.

  • For example, one study found that workers who use AI

  • assistants increased their productivity by 14% per hour

  • on average. This particular study focused on customer

  • service call centers.

  • Newer workers, the less skilled workers got the

  • biggest gain. They got up about a 35% gain, whereas

  • the most skilled workers got basically zero gain.

  • So it was kind of a leveler.

  • Part of what seemed to be going on was that it was

  • capturing the tacit knowledge about how to

  • create good answers from the best workers, the best

  • answers, and making it accessible to the rest of

  • the workers.

  • Economists and politicians believe this technology

  • could be deployed very quickly, and in fact, it

  • already has.

  • When we launched this AI chatbot, what blew us away

  • was just that it basically was capable of taking care

  • of two thirds of all the incoming errands that we

  • have over chat, and was doing so with same or even

  • many times higher customer satisfaction score than the

  • human agents were.

  • Sebastian Siemiatkowski is the CEO of Klarna, a Sweden

  • based financial services provider.

  • The company offers buy now, pay later options on

  • websites for over 500,000 merchants, including Nike,

  • Instacart, Yeti, Rei and Brooks Brothers.

  • The first thing the customer writes in the chat is agent

  • like, I want to speak to a human, and I think the

  • reason for that is simply that all of us have had such

  • a horrible experiences of these chatbots that were so

  • not intelligent.

  • But the difference with this chatbot that we

  • launched is that people appreciate it.

  • It's fast. It's to the point it actually resolves

  • their errands in general, an average time of

  • resolution. So like when the customer starts chatting

  • with us and actually resolves, that could be

  • about ten minutes with a human agent while it's been

  • about two minutes with the AI.

  • So I think that unfortunately we may end up

  • having a significant amount of permanent technological

  • unemployment, that income and wealth inequality will

  • rise.

  • The concerns about inequality have led

  • economists to study robot taxes.

  • The idea is to charge companies that use

  • technology to displace workers.

  • The funds would help governments make up for the

  • loss of income and payroll taxes that robots aren't

  • charged, with some revenue set aside to support

  • displaced workers, the ideal level for this tax

  • would be 1 to 3.7%, according to researchers at

  • MIT. By comparison, both employers and employees pay

  • 7.65% for payroll taxes, in addition to other taxes at

  • the federal, state, and local levels.

  • One of the first rules of taxation is whatever you

  • tax, you get less of.

  • Robots are part of what boost technological growth.

  • So I'm not sure we want to have less of that.

  • In 2023, a group of New York State Assembly members

  • introduced a bill that taxes corporations that use

  • AI algorithms that replace workers in the state.

  • But it's not law. Yet lawmakers in Washington are

  • far away from deciding on policy details like this.

  • So I wouldn't expect anything on AI right away.

  • At least not a really impressive comprehensive

  • package. If there is an emergency, say, in the next

  • year, in the next couple of years, that might spur

  • Congress to act.

  • A potential tax on robots would have to be extremely

  • high to alleviate inequality, according to a

  • Kellogg School of Management study.

  • But even then, economists worry that it could shrink

  • the United States economic competitiveness.

  • Other members of Congress take a different approach in

  • light of the rapid development of AI.

  • For example, Bernie Sanders has proposed shortening the

  • workweek to four days.

  • Technology has made working people far more productive,

  • and what has been the result of all of that

  • productivity increase for working people?

  • Almost all of the economic gains of that technological

  • transformation have gone straight to the top, while

  • wages for workers have remained stagnant or even

  • worse.

  • Researchers believe that AI tools are not yet well

  • developed enough to fully replace human beings.

  • If you've used ChatGPT, you know that it's fun and it's

  • cool, but it sometimes makes mistakes.

  • It can hallucinate where it just makes up things that

  • aren't true.

  • That hasn't stopped investors from piling money

  • into the tech sector, expecting huge gains in the

  • future. Companies like Microsoft, Google, Apple,

  • and Meta are all developing artificial intelligence

  • copilots. But the dominant brand, OpenAI, isn't traded

  • on public markets.

  • OpenAI is of the highest quality and gives us the

  • best experience, but there's tons of internal

  • work on top of that amazing technology that they, you

  • know, help us with.

  • Klarna says that OpenAI's assistant tool is estimated

  • to produce $40 million in profit improvement in 2024.

  • Large language models like ChatGPT and Claude and

  • Gemini tend to work better.

  • The bigger they are, the more data they have.

  • It is often kind of a winner take all or winner

  • take most game.

  • Over 50,000 workers lost tech jobs in 2024 as of

  • April. In some cases, leaders were making room for

  • new talent who could develop AI tools.

  • Artificial intelligence is really at play here.

  • When you really look at the numbers of people that are

  • being restructured or being laid off, you're looking at

  • a lot of white collar jobs.

  • Goldman Sachs predicted that 300 million jobs could

  • change as AI tools roll out.

  • Jobs that involve physical work are less likely to be

  • affected. For example, IBM told its employees that it's

  • cutting down jobs in its marketing and communications

  • division, while massively upskilling all of its

  • employees on AI.

  • Revenue per employee is going to be significantly

  • higher than what we've seen historically, and I think it

  • will benefit the employees of those companies because

  • they will also pay more per employee.

  • A survey of 1400 US business leaders suggests that most

  • corporate executives will hire more people as a result

  • of generative AI, not less.

  • Experts believe that's because the tools currently

  • can make workers more productive, but can't

  • replace them altogether.

  • The technology is having an impact in some parts of the

  • market, but I don't think it's having a broad based

  • effect yet. Over the coming years, we'll see more

  • effects.

  • The federal government is in a race against time to

  • understand AI before the products become even

  • stronger.

  • Congress failed to meet the moment on social media.

  • Now we have the obligation to do it on AI before the

  • threats and the risks become real.

  • It's not just about the copyright holders of today

  • and those who will generate new copyright with the

  • assistance of AI.

  • It's about whether America will lead the world.

  • In 2024, the House of Representatives launched a

  • task force to address the wide ranging risks raised by

  • tools that can mimic human thought, language, likeness

  • and more.

  • A part of the idea behind the task force is if you

  • look at who's on it, it's a bunch of different Democrats

  • and Republicans from various committees.

  • The idea here is to kind of have one coordinating body.

  • So as committees begin to do their work, you do have

  • someone who's kind of keeping an eye on everything

  • that's happening and maybe helping to coordinate a

  • little bit as those bills move through committee and,

  • who knows, potentially come to the floor.

  • Leaders in Washington are relying on the industry

  • itself for some of the answers.

  • The White House has garnered commitments from 15

  • companies to drive safe development of AI.

  • You know, smart regulation can be helpful.

  • It can actually even speed up the adoption of

  • technologies and protect people from harms.

  • But at the same time, overregulating can be

  • harmful and slow down adoption.

  • The US government appears to be moving slower on

  • regulation when compared to its peers.

  • For example, in March 2024, the European Union banned

  • high risk uses of artificial intelligence,

  • which includes applications in critical infrastructure,

  • health care, banking, the justice system and

  • education.

  • The folks in Brussels, they come up with a lot of

  • bureaucratic rules that make it harder for companies

  • to innovate. The entrepreneurial environment

  • isn't there the way it is in the United States.

  • Which means that Americans may be more exposed to the

  • ups and downs of AI as the technology advances.

  • I think what you're going to probably see is what you see

  • for a lot of other issues.

  • You're going to be seeing Republicans taking the route

  • of less regulation, more room for creativity, for

  • growth, and for the economy.

  • And then for Democrats, you're going to see kind of

  • more of a concern. Is AI trying to discriminate

  • against anyone? Could this be something that actually

  • winds up hurting people rather than helping them?

  • The critical question, the one that I would, you know,

  • urge policymakers to consider is how do we

  • support the people whose jobs are affected in a smart

  • way, and so that it becomes truly a positive outcome for

  • the whole of society?

  • There will be a time in the future.

  • Where robots can do most of what humans currently do.

  • We're not there yet.

  • Over time, we're going to have to update our tax

  • system and even move to systems like Universal Basic

  • Income that make sure everybody get a share of the

  • benefits that are created.

Artificial intelligence is already changing business in

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B1 US

The Race To Regulate AI

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    林宜悉 posted on 2024/04/13
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