Can you trust Gen. AI in decision making?

I agree with you. At the current state of AI progress, we can not blindly trust AI, even for simple content creation. Technically because the generator's source is the statistical data made available to it. But for decision-making, we will expect not only some level of historical learning (coming from learning datasets) but also some wisdom to predict the future. I wonder if we can rely on current AI systems to predict for us?

I would use "never" more carefully. want it or not, AI is a major decision maker in talent acquisition systems and gives you the ones who have "calibrated" their input to pass through the AI, not mandatorily the best ones. This way of decision influencing soon or late will infiltrate more processes. what will you do to make sure your processes are working at their best?

I agree that current AI models heavily depend on input and training data to generate outputs. however, several "decision builder" algorithms may influence an organization's behavior without anyone noticing the situation. For example, the ATS uses AI to summarize and rank applicant CVs, therefore a lot of applicants lose their chance of being seen, only because their CV wasn't "AI optimized". This means that an organization is not hiring the best candidate, but only the one selected by AI. Many other examples may exist, that negatively impact organ behavior without leaving any footprint.
In such cases, we are ignoring the low quality of output, just because we have little time to qualify the output.

Near term, that wisdom in the PM field might be suspect because of the critical importance of fully understanding context. Unless an AI tool has the awareness to ask sufficient questions to get the complete picture which the PM sees, it may not be able to provide a valid prediction.

This is the natural challenge with any endeavor where there is a high degree of uniqueness and I'd expect the same challenge for AI use in any domain where complexity is high.

Kiron

You hit the nail: they rank the CVs and they notice about that. The decision is still on hands of human beings.. In Why? Because the AI can not understand what the word "best" and others means except you trained the AI with that and when you trained AI with that then you are including the organizational definition about the word "best". I created lot of algorithms on this matter because they are the most simple algorithm you can create and in fact people with knowledge about programing and some statistics techniques can create it just in few hours. This type of things are critical to understand and, in my humble opinion, organizations understand how the AI works when they try to use it. We need to understand that we, as human beings, are in control of AI. The problem, and please do not think I am writting this because of your comment, AI has become a buzzword like other things in the market: agile, big data, etc, etc.