The Future of Work: an annotated bibliography

macro, cogwheel, gear

Pavlofox (CC0), Pixabay

There is growing research and debate over how technology – particularly AI and automation – will result in changes to the world of work. LMIC  (I think it stands for Labor Market Information Centre – but I couldn’t find anything about the name of their website)  in Canada has a project to set up an ongoing annotated bibliography. And, although there is a focus on north American literature and reports, the site is useful for anyone interested in this topic.

“The future of work is a hot topic and the focus of many initiatives in recent years. Addressing gaps in labour market information (LMI) ensures that policy makers and stakeholders can help shape the future of work. For Canadians, information to help them adapt to this fourth industrial revolution is essential.

What the project is about

The Future of Work Annotated Bibliography features reports from a variety of sources, emphasizing Canadian information. These reports examine all aspects of the future of work. The complex interactions between megatrends, key gaps in LMI and forecasting tools are some of these topics

The impact of Al on the labour market

The debate goes on. Here is the latest discussion organised by the OECD. On February 1 from 1600 to 1700 CET. Go here to register.

"What do we know about the impact of AI on the labour market? Will it further automate jobs and, if so, which ones? Will it improve job quality, or worsen it? And what will AI mean for disparities in the labour market? Will we be able to harness the opportunities that it offers to reduce inequalities or will we instead see inequality rise even further? This session will take stock of what we know about the impact of AI on the labour market and what we might expect to see in the future, including as a result of the Covid-19 crisis."

The impact of Al on the labour market

The debate goes on. Here is the latest discussion organised by the OECD. On February 1 from 1600 to 1700 CET. Go here to register. What do we know about the impact of AI on the labour market? Will it further automate jobs and, if so, which ones? Will it improve job quality, or worsen it? And what will AI mean for disparities in the labour market? Will we be able to harness the opportunities that it offers to reduce inequalities or will we instead see inequality rise even further? This session will take stock of what we know about the impact of AI on the labour market and what we might expect to see in the future, including as a result of the Covid-19 crisis.

What is Machine Learning

What is machine learning header

I am copying this from Stephen Downes' ever informative OLDaily newsletter digest. It features an article entitled What is machine learning? – A beginner’s guide posted on the FutureLearn website.

This is quite a good introduction to machine learning. If you don't know what it is and would like a quick no-nonsense introduction, this is it. Machine learning is depicted "as the science of getting computers to learn automatically." It's a type of artificial intelligence, which means essentially that they are software systems that "operate in an intentional, intelligent, and adaptive manner." The third point is the most important, because it means they can change their programming based on experience and changing circumstances. The article talks about some types of machine learning systems and outlines some application in the field. It's FutureLearn, so at the end it recommends some course tracks for people interested in making this a career, and just to dangle a carrot, the web page lets you know the median base salary and number of job opening for the program in question.

What is Machine Learning

What is machine learning header

I am copying this from Stephen Downes’ ever informative OLDaily newsletter digest. It features an article entitled What is machine learning? – A beginner’s guide posted on the FutureLearn website.

This is quite a good introduction to machine learning. If you don’t know what it is and would like a quick no-nonsense introduction, this is it. Machine learning is depicted “as the science of getting computers to learn automatically.” It’s a type of artificial intelligence, which means essentially that they are software systems that “operate in an intentional, intelligent, and adaptive manner.” The third point is the most important, because it means they can change their programming based on experience and changing circumstances. The article talks about some types of machine learning systems and outlines some application in the field. It’s FutureLearn, so at the end it recommends some course tracks for people interested in making this a career, and just to dangle a carrot, the web page lets you know the median base salary and number of job opening for the program in question.