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AI and the future of work
Bitesize

AI and the future of work

AI, jobs and workforce social partnership.

Level
Bitesize
Learning time
1 hour 15 minutes
Where
AI for Leaders
Price
£39

When you step up to a higher level, what you paid in the last 12 months for lower-level courses inside the bigger course comes off its price, in proportion to how much of each is inside it, whichever topic it's from. Courses at the same or a lower level don't give credit against each other. A Focus course or above always costs at least £15. Read the full terms

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About this course

Overview and Outcomes.

Overview

Tasks change before jobs do. This module reads global projections from the IMF, the World Economic Forum and Eloundou and colleagues, explains why exposure is not replacement, and offers a spectrum for deciding which tasks to automate, augment or keep human. It reviews early evidence from Stanford's Canaries in the Coal Mine study and British Progress, the Klarna U-turn, and why the first rung of the career ladder deserves watching. Do it with people, not to them. This module sets out the Workforce Partnership Council's five principles for managing technology that manages people, with five steps before implementation and six expectations afterwards. It covers transparency, algorithmic management and the ICO's guidance on monitoring workers, routes to worker voice in Wales and England, the 2023 Hollywood writers' strike, and the difference between consultation as formality and as design.

What you'll develop

In this Bitesize, you will develop the ability to:

  1. Explain why exposure to AI is not the same as replacement and why tasks change before jobs do.
  2. Use the spectrum from automate to keep fully human to decide how each task in a role should be handled.
  3. Plan workforce changes that protect entry routes, redeploy freed time honestly and involve staff and unions.
  4. Describe the Workforce Partnership Council's five principles and the steps it expects before and after a system goes live.
  5. Assess proposed worker monitoring against the tests of necessity, proportionality, transparency and impact assessment.
What it covers

The Modules.

1 hour 15 minutes of learning.

  1. 12AI and Jobs: What the Evidence SaysTasks change before jobs do. This module reads global projections from the IMF, the World Economic Forum and Eloundou and colleagues, explains why exposure is not replacement, and offers a spectrum for deciding which tasks to automate, augment or keep human. It reviews early evidence from Stanford's Canaries in the Coal Mine study and British Progress, the Klarna U-turn, and why the first rung of the career ladder deserves watching.39 min
  2. 13Integrating AI into the Workforce: Social PartnershipDo it with people, not to them. This module sets out the Workforce Partnership Council's five principles for managing technology that manages people, with five steps before implementation and six expectations afterwards. It covers transparency, algorithmic management and the ICO's guidance on monitoring workers, routes to worker voice in Wales and England, the 2023 Hollywood writers' strike, and the difference between consultation as formality and as design.39 min
Where it fits

Keep going.

Part of the AI for Leaders topic, also sold whole as The human edge.

How credit works

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