Three former Google employees believe that artificial intelligence could be the secret to making you happier at work.
Their startup, called Humu, uses machine learning to parse through employee data and then ‘nudges’ workers to help them improve in areas that might make their work lives better, according to the New York Times.
Nudges are delivered to employees via emails or text messages and are expected to motivate employees around small tasks, with the eventual goal of improving the broader organization as a whole.
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Three former Google employees believe that artificial intelligence could be the secret to making you happier at work via their startup, called Humu, that’s based in California
Humu was founded in 2017 and now counts 15 companies, both big and small, as its customers, according to the Times.
It’s based around a ‘nudge engine’ that encourages people to make decisions based on what’s in their best interest, instead of making decisions based on what is easiest.
These same principles were used by the human resources team at Google, which sought to motivate employees to save money, waste less food and make other proactive choices.
‘Often we want to be better people,’ Laszlo Bock, Humu’s chief executive and Google’s former leader of people operations, told the Times.
‘We want to be the person we hope we can be. But we need to be reminded.
‘A nudge can have a powerful impact if correctly deployed on how people behave and on human performance.’
Nudges are sent to employees via emails or texts and are expected to motivate employees around small tasks, with the eventual goal of improving the broader organization as a whole
The company uses machine learning to streamline content sent to each customer, as well as to tailor timing and how messages are delivered based on how employees respond
Humu uses machine learning to streamline content sent to customers, as well as timing and how messages are delivered based on how employees respond, the Times noted.
Each nudge is tailored for a different purpose and many of Humu’s customers have them sent only to managers.
For example, a manager might be ‘nudged’ to remember to ask members of their team for their input, while an employee might be nudged to come up with questions for their manager.
One of Humu’s customers, the salad chain Sweetgreen, used Humu to determine that a fewer-than-expected number of employees believed they had opportunities to advance their careers at the company.
Humu recommended that store managers have individual meetings with staff members to discuss advancement opportunities.
A nudge sent to one Sweetgreen manager read: ‘Consider what skills each team member needs to be successful, both in their current role and longer term in their career.
HOW DOES ARTIFICIAL INTELLIGENCE LEARN?
AI systems rely on artificial neural networks (ANNs), which try to simulate the way the brain works in order to learn.
ANNs can be trained to recognise patterns in information – including speech, text data, or visual images – and are the basis for a large number of the developments in AI over recent years.
Conventional AI uses input to ‘teach’ an algorithm about a particular subject by feeding it massive amounts of information.
AI systems rely on artificial neural networks (ANNs), which try to simulate the way the brain works in order to learn. ANNs can be trained to recognise patterns in information – including speech, text data, or visual images
Practical applications include Google’s language translation services, Facebook’s facial recognition software and Snapchat’s image altering live filters.
The process of inputting this data can be extremely time consuming, and is limited to one type of knowledge.
A new breed of ANNs called Adversarial Neural Networks pits the wits of two AI bots against each other, which allows them to learn from each other.
This approach is designed to speed up the process of learning, as well as refining the output created by AI systems.
‘Take notes. Preparing this list of skills will help you spot opportunities for your team as they arise — so it’s worth putting the work in now!’
As a result, the Sweetgreen manager learned that employees wanted to diversify their skills.
That said, experts have noted there could be risks to the application, as it could push workers to complete tasks that are more beneficial to the employer, instead of their own personal interests, the Times reported.
‘The companies are the only ones who know what the purpose of the nudge is,’ Todd Haugh, an assistant professor of business law and ethics at Indiana University, told the Times.
‘The individual who is designing the nudge is the one whose interests are going to be put in the forefront.’