Bargaining, Organising & Campaigning Around AI and Data

About The Course

A two-day in-person course for union reps and activists to explore the opportunities and challenges offered by the rapidly developing world of Artificial Intelligence and data.

This course will include an in-depth analysis and explanation of all the variations of different Artificial Intelligence products, uses and then how we can utilise this knowledge to negotiate, organise and campaign as unions for the benefit of workers.

We will be exploring some of the new concepts that have been developed by unions that combine the use of data with automated systems and digital information/communication platforms.

Reps and activists will feel confident and empowered to negotiate and bargain with the employer around these critically important ideas, concepts, and their impact on the world of work.

This course will be tutored by Mike Joslin, CEO and Co-Founder of Bombe, an AI data targeting and audience modelling platform. He has built start-ups, managed large teams, run some of the UKs most high-profile campaigns and worked for and advised dozens of leading figures on the centre-left of politics including US President Barack Obama, Mayor of London Sadiq Khan, Labour Leader Keir Starmer and Labour Deputy Leader Angela Rayner on data and campaigning. 
 
He has led on some of the major breakthroughs in political technology in the UK including introducing political text message campaigning and building a digital social network for campaigning. His award-winning work at the National Education Union includes building the NEU Communicator, a pioneering data science and  engagement-based communications platform that formed the centrepiece of the NEU’s ‘Moneyball Activism’ approach. It was credited by journalist Paul Waugh as “winning the data war” that led to the NEU being the only education union that met the ballot thresholds in the recent campaign for teacher pay and to save our schools and subsequently helped win the biggest pay rise for teachers since the year 2000. 
 
He regularly speaks on data, has been featured in academic studies and his work appears almost weekly in the media. Two examples of his work include: Introducing text message campaigning into UK politics and Using data science to make real change in education.