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Hi everyone, Welcome to the 5 Minutes Podcast. Today I'd like to continue my analysis and my insights about the research we did about artificial intelligence in project management. Antonio and I, did this research, and last week I shared with you the key findings 1 to 5. And today, I want to share with you the findings 6 up to 10. And we will close this analysis. And I'm giving some of my insights here. So, number six is the AI's role in promoting diversity and inclusion. 25 to 26% of the experts. They see AI as a great instrument for eliminating bias and fostering diversity. And I see this in a positive way. I say it's fantastic that AI could reduce bias and foster diversity, but this drives me to the key finding number seven. 75% said that they are concerned about ethical implications in AI decision-making. So why I'm combining six and seven? Because it looks like a dichotomy. Why? Because number six is saying, oh, AI can be a breakthrough in reducing bias. And then on seven people are really concerned about the ethical use that AI can promote bias, that AI can spread fake news, spread unethical decisions. And I cannot agree more. And you heard me, I say about this in other episodes and webinars and why this is important. This is a perfect example. Ai is just a machine. If you take reality that is full of bias and put it in an AI, it's impossible to remove bias from AI because AI is based on data that has bias.
So, what is critically important here? It's that we need to understand that AI is so powerful that if we use it to do not great things, it will do it in a very competent way. So we need to balance this. For example, let's suppose you want to hire people how can you make sure that the AI system you are using for screening candidates or for doing interviews on candidates? Are not with bias that would, you know. Would prefer, I would say, the dominant groups or it will not foster minorities or it will not foster, for example. Or it will avoid selecting people based on their race or their color or their religious belief. And these could be a very tricky thing. And this, for me, is probably one of the biggest challenges because we are trying to treat AI as mathematics and but mathematics with data that is full of prejudice. How do we do that? And I'm happy that 75% of the experts. They said that I would love to see this number even bigger. Number eight is AI is a catalyst for innovation and project management. And 65% said that AI is a key factor. And what I love about what is happening with AI in the past year it's because it's shaking us. It's shaking us because project management tends to be a quite traditional profession.
People tend to be more conservative, tend to be to say, you know, we use the same techniques, the same thing. And then AI came to do this shake-up, and all of us to say, oops, maybe it's not the way you think. And I think that when you have this, I love this concept of the burning platform. When you have a burning platform, you need to jump; otherwise, you will be burned. So you need just to understand this: I am a catalyst. So it is a perfect opportunity for all of us to rethink our business, to rethink the business of our organization, and to do things differently. And this is so important because this is like the catalyst that will connect this and all the changes we can see today, for example, in several tools. They are a result of this. This, I would say, is a perceived threatening attitude of I. Now, going to the end. Number nine and number ten. Number nine: Challenges and barriers in AI integration. And people see a lot of benefits in the use of AI. However, many of them are struggling to integrate AI into their current frameworks, and they need to think about this better. And what is the challenge here is that, for example, most of the frameworks most of the delivery methods, they were created in an environment where I did not exist at this level. So now we need to go back and rethink our framework. Is the framework we are using still effective with all this innovation and all these trends? Do we need to think of it in a different way? And these.
It is a big challenge because we love talking about change, but we are not very good at changing at all. And this drives me to the number ten investment in AI exploration. So just to give you an idea, we see quite a variation in the enthusiasm for investing. 50% are very likely to invest, 30%. Okay. Some are somewhat likely. And some people they just said, No, I'm not planning to invest in this. And why this 20% is so concerning for me? Because it's impossible for you to move and to understand what AI is about if you do not invest in exploring it. And invest its time invest its money. So, if you do not invest time and money to understand what is the real implication of AI in your business in your project, there is a very big risk that when you realize that, it's already too late. It's already too late. And this goes back to the number two that I said last week. It's about the fear of irrelevance or the fear that I will take your job. So what is important? We need to invest time invest money to understand what is behind that. This is what I am doing. I'm doing the courses. I'm trying to learn as much as I can. There are many free resources that you can use to do that, and we should implement pilots in our organization to try to understand things in a different way.
This is exactly what we need to do now. And I'm surprised that that 20% of them, they said, no, no, I'm not interested in investing. So my question is, what do they expect? Because when change comes, people do not even realize when they are impacted. They just, you know, they just disappear, right? Probably up to today. Toys R Us and Barnes and Noble are still struggling to realize what happened. You know, we were so successful; what we did wrong, like Blockbuster, what we did wrong is just you miss completely the change that was coming. And this is something we cannot miss. Remember, this report is Creative Commons. It's free. It's our donation. Antonio and I donated this to the community, so just download it at pmairevolution.com. Make the best use you can, you know, make the best use. You can use this to challenge the results. Use this to confirm some of your results. And what is important is that do not stop discussing about these relevant topics because if you do not discuss these relevant topics, they will catch you upfront. You know, they will hit you down the road, and you will not even know what happened. So think always about that. So I hope you enjoyed this series of podcasts and see you next week with another 5 Minutes Podcast.