Peter's life in Office Space was dreary as a software engineer. Peter tries not to say "I'm going to need you to come in tomorrow" every Friday.

The scene captures troubling aspects of the employment relationship and is still popular on the internet 25 years later.

There is a lot of depictions of bad bosses. There is a movie with that title. Things are going to get worse.

What will the new bosses doing in the workplace make of them?

The rise of algorithm management

The media often covers the idea of workers being replaced by machines. It's not just labour that is being automated. Managers are also included.

Software is assuming managerial functions, such as evaluating worker performance and deciding when to fire employees.

As machines become more sophisticated, tasks from humans to machines will increase. Wearable technology can be used to track employees.

From an employer's point of view, there is a lot to be gained. Business costs are lowered by automated tasks that take longer to complete. 3.5 million drivers can be supervised by the company with 22,800 employees.

Artificial intelligence can find ways to improve businesses. Surge pricing model is only possible because an algorithm can process real time changes in passenger demand

The risks

There are some problems that get more attention than others. The risk of bias is discussed by researchers and policymakers.

Amazon's CV ranking system is no longer in use. The program was discontinued because it consistently rated CVs with male characteristics higher than those with feminine characteristics.

There are a number of issues surrounding the growth of algorithms management.

The issue of transparency is one. Step-by-step instructions are used to make decisions and only outputs are given.

Machine-learning software learns to make their own decisions after exposure to a lot of data. As they develop, their operations become more complex, making them less transparent to programmers.

A morally dubious arrangement is afoot when the reasoning behind a decision is not transparent. The decision to fire the employee was made by the algorithm.

If it's true, its output would be considered illegitimate. How could an employee show that their dismissal was due to illegal motives?

The power imbalance between employers and employees is made worse by the use of algorithmic management There was a critical human function that was cut.

Rousseau said that our "natural sense of pity" and " innate repugnance to seeing one's fellow human suffer" is what makes us.

There is not much chance that managers will be compassionate.

Calculating efficiency is not as important as the care emergencies. They won't tolerate workers moving slowly because they're still learning the job. They don't negotiate to find a solution that will help a worker.

What can we do

Researchers, trade unions, and software developers are trying to promote good working conditions by focusing on the risks faced by workers under the management of Algorithms. Politicians are talking about extending digital rights for workers.

It is possible to give employees a say in how these technologies are used.

The need to make a profit doesn't justify employee suffering.

Peter learned how to enjoy his job. He did this by showing his value to management. How would he fare if his boss had been a computer program?

Robert Donoghue is a PhD candidate in social and policy sciences at the University of Bath.

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