FLBear5630 said:
Did you look at the article? I am talking about AI/machine learning bias. Not social media. AI/ml for actionable data. The data prompting action is being skewed by what the AI/ml whatever you want to call it is showing decision makers. I used those terms to show this is not a one off I am coming up with out of the blue. How the AI is presenting data to decision makers is an issue and it is getting less transparent as humans are not serving an annotator role and algorithms are replacing them. This is not just a social media issue, it is an actionable data issue as AI/ML is being used in medicine, traffic, airlines, etc. I live in Ops and see more and more reliance on AI for decision making. Every time we look into the full data we are surprised by what we find that did not get brought to our attention.
Bad design models are not the problem of the tech, they are the problem of deployers and even users. Ai or any tech tool for that matter, can fall victim to garbage in and garbage out. There's a difference between bias and drift, and I thought we were on the former.
I know firsthand the limitations and problems Ai can present to organizations if done poorly. There have been some spectacular failings in companies. But let's not forget the long history of technology implementation and ROI failures littering the corporate roads of the past. This is no different with Ai. As I said in the beginning of this interchange, both the hype and fear of Ai are overstated. But some of this chatter borders on unwarranted paranoia, and I'm trying to focus on the realities, including the reality that it is a true disruptor.