Are Robots taking too big a byte out of our workforce?

The teen has been working on a school project about the impact of Artificial Intelligence (AI) on jobs. As part of that, she reached out to several experts, and has interviewed three of them. Here is the link to the podcast that she produced, as a result.

Robots
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Highlights include:

0:15 Statistics on jobs vulnerable to automation

0:57 Introduction to Professor Jamie Ladge, Associate Professor, Management and Organizational Development at Northeastern University

1:52 Introduction to Ernest Spicer, CEO at Advanced Nutrition Consulting

2:18 Introduction to Hessie Jones, Digital Strategist and author of EVOLVE

3:27 How AI will replace vs. augment humans in the workplace

7:20 The critical importance of leadership, communication skills and emotional intelligence in the workplace of the future

9:23 The role of education in preparing youngsters for the AI-powered workplace – including, the need to rethink the format of higher education

16:48 Will Robots outsmart us?

19:08 The importance of having an entrepreneurial mind-set

19:30 Are millennials worried about AI in the workplace?

23:40 Pros and cons of AI in the workplace; the role of trust

24:40 Should AI have rights and be taxed?

25:30 The moral implication of AI mostly replacing jobs that are the main source of income for segments of the population with limited education and mobility

27:30 Impact for companies that do not have the ability to invest in AI

28:20 Likely changes in market power

28:42 Where humans are better than machines

29:28 Who is to blame if someone dies at the hands of a computer, e.g., in health?

30:30 The limitations of AI in healthcare

32:28 An historical look at technology replacing / augmenting humans in certain jobs (e.g., farming) and creating other jobs (e.g., programmatic buying of advertising)

34.38 The new job opportunities need to be created by people that know the domain where AI is being applied

35:19 The role of the domain experts (e.g., banking) in shaping the use of AI, alongside data scientists

38:00 Discrimination and representation in the context of AI

43:30 Inclusiveness and engagement

46:45 Stigma, fear of change, and the need for non-technical education

50:00 The black box of machine learning, and the imperative for audit trails

51:11 Another perspective on the moral implication of AI mostly replacing jobs that are the main source of income for segments of the population with limited education and mobility

53: 20 If people don’t have jobs, who is going to buy stuff?

 

If you want to continue the discussion, the teen she can be reached on Twitter.

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