AI cash flows to Manitoba, but will better tech mean fewer jobs?

Her name is Kimia Ansari, and she is an assistant professor of management information systems over at the University of Manitoba's Asper School of Business.

Now, as I said, she's been studying how people respond to conflicts with AI at work.

So tell me, you know, give us a few examples to start with of the ways that an employee may be asked to work with AI.

Sure.

Nowadays, in many organizations, AI is now an integral part of the making decisions.

In many cases, when we talk about AI, we are mainly talking about its technical capability, and we often assume that AI will be used in organizations if it is accurate or useful.

But in reality, this is not always the case.

Especially people may reject AI's advice if they find it's not in line with their perspective.

So if they find that it conflicts with their perspective and They disagree with it, they will reject it.

As a result, that will lead to underutilization of AI and failure of AI implementation projects.

For example, if a financial firm were to buy AI to help do something, what would they look to buy it for? Can you give us an example?

Sure.

For example, when they purchase an AI tool, that is with the goal to help their employees to make more informed decisions, to make more precise decisions.

For example, in case of investment, it is possible that people want to go with option A for their investments, but they are not sure, they hesitate, and they want to double check their perspective with the AI tools.

In this study, we focus on the fact that if their perspective is not aligned with AI-1, if they say option A and AI recommends option B, then how this clash would affect their behavior in terms of AI advice.

So if the person with experience is sitting there saying, I want to do option B, the computer's told you option A, you studied the reactions and you said there's two ways I understand that people might react to AI.

What are those two ways? Yeah.

So they may either go with AI options.

So they will say that, okay, I'm wrong.

Maybe AI has seen something that I would have not considered it before.

So they will completely accept AI's advice.

Or on the other hand, they may resist it.

So they will say, okay, I have the experience.

I have the authority.

I know the knowledge.