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AI and the Future of Work: A UCL and British Academy Collaboration

A collaboration between UCL and the British Academy ask critical questions for policy, business, practitioners and society on the ways in which AI impacts future quality and equality of work in the UK

an image of the AI & Future of Work text from UCL Public Policy, UCL Grand Challenges and the British Academy

29 November 2021

Partners


  • UCL Public Policy
  • Grand Challenges
  • The British Academy

UCL Academic Co-chairs


  • Professor Rose Luckin (UCL IoE)
  • Professor Jack Stilgoe (UCL STS)

Project team 


  • British Academy
    • Anna Bradshaw (now at DfE)
    • Alex Mankoo 
    • Adam Wright 
  • UCL 
    • Felipe Barajas, UCL Global Disability Hub
    • Evie Calder, UCL Research 
    • Cornelia Evers, UCL European & International Social & Political Studies
    • Helena Hollis, UCL Information Studies
    • Sophie Mepham, UCL Grand Challenges
    • Em O’Sullivan, UCL Science and Technology Studies
    • Dr James Paskins, UCL Grand Challenges
    • Dr Olivia Stevenson, UCL Public Policy
    • Katherine Welch, UCL Research

With special thanks to our UCL Academic Co-chairs: Professor Rose Luckin (UCL IoE) and Professor Jack Stilgoe (UCL STS)

About


Artificial intelligence (AI) brings opportunities and uncertainties for the future of work, and there is currently a widely acknowledged digital skills gap in the UK. Enabling and upskilling the workforce to take full advantage of AI will be vital in both a post-Brexit and post-COVID-19 world. However, there remains little consensus on the ways that AI could or should intersect with work, or the place of AI in the wider political, economic and social discourse. Likewise, questions remain as to how Government will be able to support the investment in lifelong skills and training that will be required to shape AI for the benefit of all.

AI is only one of the factors that will cause major changes in the nature of work over the coming decades, and it is not the first time that work has undergone a transformation related to technology. For example, changes due to AI will sit alongside changes related to climate change, as well as the immediate impacts of COVID-19 and the UK exiting the EU.  The role of AI should be considered in this wider context of overlapping, interdependent factors to ensure an equitable transformation. 

This collaboration between UCL and the British Academy seeks to ask critical questions for policy, business, practitioners and society on the ways in which AI could and should impact on the future quality and equity of work in the UK. The project seeks to broaden the debate surrounding the interactions of AI and work including on equality in work, assessing the impacts at a range of scales (both geographically and across industry sectors), engaging those with little interest in technology or who feel disenfranchised, and determining what ‘good work’ looks like. 

Aims 


  • Broaden the debate surrounding the interactions of AI and work including on equality in work
  • Assess the impacts at a range of scales (both geographically and across industry sectors)
  • Engage those with little interest in technology or who feel disenfranchised
  • Determining what ‘good work’ looks like

Impacts and Outputs


AI and the impact on work


Read more about the programme on the Policy Postings blog


In these blogs, UCL’s Helena Hollis and Cornelia Evers explore what “good” work means alongside AI.

Reading list

UCL Grand Challenges

2019

Structurally Unsound: Action Note for Employers

  

IFOW

2021

Good Work Monitor

  

IFOW

2021

The Amazonian Era: The gigification of work

  

TUC

2021

Work and the AI Revolution

  

All-Party Parliamentary Group on the Future of Work

2021

The New Frontier: Artificial Intelligence at Work

  

Future Advocacy

2018

The Impact of AI in UK Constituencies: Where will automation hit hardest?

  

Ada Lovelace Institute

2021

Participatory data stewardship

  

PwC

2018

How will automation impact jobs?

  

Capgemini

2020

Automation in retail stores

  

TUC

2018

I’ll be watching you: A report on workplace monitoring

  

Brookings

2019

What jobs are affected by AI?

  

centreforcities

2020

The big questions we need to answer to encourage innovation outside the ‘Golden Triangle’

  

Council of Europe

2018

Discrimination, AI, and algorithmic decisionmaking

  

European Parliament

2020

Data subjects, digital surveillance, AI and the future of work

  

U.S. Department of Commerce

2019

Face Recognition Vendor Test (FRVT) Part 3: Demographic Effects

  

BBVA OpenMind

2020

Artificial Intelligence in the Workplace: What is at Stake for Workers?

  

The British Academy & Royal Society

2018

AI at work