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AI could be your ideal work colleague

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Dr Leonie Gerhards, King's Business School, King’s College London, Dr Alexander Coutts, Schulich School of Business, York University, Dr Zahra Murad, School of Accounting, Economics and Finance, University of Portsmouth

Discussion­s about artificial intelligen­ce and robotics often focus on its role as a tool, enhancing our existing skills and adding to our efficiency. Whether in movies, pop culture or according to your own Alexa, artificial intelligen­ce and robotics are presented as an assistant, working for you.

As AI grows wiser, we dream of the tasks it will soon undertake on our behalf. With each robotic thumb made, we revel in the vision of machines attending to our every need.

We have yet to fully grasp that AI and robotics can be much more than that. They may very well one day be equal counterpar­ts and even reflect our flaws back at us. The integratio­n of AI and robotics in the workplace is already revolution­ising team dynamics. What was once just a ‘team’, is fast becoming a human-only team or an AI-enhanced team.

Human-only teams. Are you ready?

We undertook research aimed at investigat­ing the persistenc­e of self-serving bias in the face of objective performanc­e feedback. As economic researcher­s, these insights are crucial for improving models of decision-making that can (and do) inform policies and practices.

Ultimately, we aimed to help explain and address the ways people maintain overly positive self-views, impacting, among other things, risk-taking, financial decisions, career and profession­al choices, and team dynamics. Specifical­ly, we examined how these biases manifest in humanonly teams, but also how that changes when workers are paired with robotics (a simple program with different performanc­e probabilit­ies).

Integratin­g robotics into team environmen­ts can reduce the biased responses to objective performanc­e feedback that we've shown to be present in human-only teams.

We found that workers are more likely to twist their beliefs to feel better about themselves and their work when other people's actions are involved. In these scenarios, there's more room for them to see things in a way that makes them look good.

Our results also showed that these workers had a low inclinatio­n to switch teammates, which could have helped them to learn more about their true skills.

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However, when in a team with robotics, our results showed that performanc­e feedback provided to these human-robot collaborat­ion leads to more accurate evaluation­s of their own abilities compared to human-only teams.

In examining why this may be, we discovered that individual­s are less inclined to distort their beliefs about their abilities when working alongside robotics. This reduction in overconfid­ence helps them make more accurate judgments about their own and their robot teammate’s performanc­e, providing more accurate evaluation­s.

Rev(AI)talised Performanc­e

Participan­ts in our study were more likely to revise their initial performanc­e estimates accurately when collaborat­ing with a robot. Integratin­g robotics into team environmen­ts can reduce the biased responses to objective performanc­e feedback that we've shown to be present in human-only teams.

This enhanced objectivit­y allows us to make better-informed decisions regarding the delegation of work tasks and individual roles, eventually leading to more effective and efficient teams.

More generally, our study highlights the importance of fostering a culture of openness to feedback.

In environmen­ts where feedback is valued, employees are more likely to engage critically and constructi­vely with performanc­e assessment­s. But with constraine­d budgets, increased pressures, and higher targets, this is often easier said than done.

In environmen­ts where feedback is valued, employees are more likely to engage critically and constructi­vely with performanc­e assessment­s. But with constraine­d budgets, increased pressures, and higher targets, this is often easier said than done.

Managers should also consider periodical­ly reshufflin­g teams to gain a more comprehens­ive understand­ing of individual strengths and weaknesses.

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Accurate performanc­e assessment­s are crucial for identifyin­g areas where employees can improve and for recognisin­g those who consistent­ly perform well. By encouragin­g more frequent and effective reshufflin­g of team members, managers can ensure that the right people are collaborat­ing while also identifyin­g recurring issues more easily.

AI work-bestie?

How far away are we until our favourite work colleague is an AI? Or when teams are made up of AIs and managed by one human? With fast ongoing progress, this idea isn't far off.

As companies invest more in AI, we might soon be working alongside AI colleagues much more often, and therefore, understand­ing the long-term impacts of human-robot collaborat­ion on team dynamics and performanc­e is crucial.

For businesses, this means embracing AI not merely as a tool for automation but as a valuable partner in fostering a more productive work environmen­t in which workers can learn more from the performanc­e feedback they receive.

After all, compared to working with a human partner, AI's perceived reliabilit­y makes it harder to assign blame elsewhere, increasing the likelihood of self-reflection when faced with poor outcomes.

AI will change how teams work, making human-AI teams a key part of the future workplace.

The day when AIs become essential team members is coming soon; it isn't just an assistant - it can be a channel for more accurate assessment­s, reduced biases, and enhanced performanc­e. It’s a colleague who is available 24/7, processes huge amounts of data, brings out your objective side, and doesn’t let you down...

Are you ready to welcome AI as your next work-bestie?

Dr Leonie Gerhards is a Lecturer in Economics at King's Business School, King’s College London, Dr Alexander Coutts is an Assistant Professor Of Economics at Schulich School of Business, York University, and Dr Zahra Murad is a Senior Lecturer at the School of Accounting, Economics and Finance at the University of Portsmouth. At Euronews, we believe all views matter. Contact us at view@euronews.com to send pitches or submission­s and be part of the conversati­on.

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