Businesses have a moral duty to explain how algorithms make decisions that affect people
Amazon, Google and Facebook use algorithms to tailor what users see, and Uber and Lyft use them to match passengers with drivers and set prices. Do users, customers, employees and others have a right to know how companies that use algorithms make their decisions?
Human instinct better than algorithms in detecting online "deception"
Can we trust our gut instinct? We often assume the human brain is no match for a computer but with practice in looking for deception cues, we may be able to rely on our gut instinct when it comes to detecting fake online reviews.
Will we enjoy work more once routine tasks are automated? Probably not.
When routine work tasks are being replaced with intelligent technologies, the result may be that employees no longer experience their work as meaningful.
How conspiracy theories emerge -- and how their storylines fall apart
With COVID-19 conspiracy theories in abundance, can artificial intelligence be used to break down the connections which glue conspiracies together?
Study finds stronger links between automation and inequality
In some white-collar jobs—designer, engineer—people become more productive with sophisticated software at their side. In other cases, forms of automation have simply replaced factory workers, receptionists, and many other kinds of employees.
How many jobs do robots really replace?
The impact of robots varies widely by industry and region and may play a notable role in exacerbating income inequality.
Artificial intelligence can help some businesses but may not others
The temptation for businesses to use artificial intelligence and other technology to improve performance, drive down labor costs, and better the bottom line is understandable. But before pursuing automation that could put the jobs of human employees at risk, it is important that business owners take careful stock of their operations.
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