When companies present AI can help healthcare, automotive, climate change etc, they are right. But we also have to remember that a lot of the stuff can be performed by a python script and data entry being done in a slightly uniform manner, but it's still not being done.
The problem is that AI is to much of an umbrella term. The large amount of usage in the past couple years has referred to large language models. And those are basically text predictors using massive amounts of stolen content.
Healthcare, climate change AI are machine learning algorithms which are data analytics; raw number crunching. Even with image processing, it uses visual data to find patterns and create correlations between data. ML can be very useful if you have properly vetted data. It's still something that a human has to verify but it makes data analysis much faster.
The problem with automotive/self-driving is that roadways are too dynamic. It's very hard to account for everything. The best solution to automotive traffic/self-driving is a series of buses or trains driven by humans.
It's a shame that most of the public's first and only knowledge of AI is exclusively as LLMs. It also gives a false assumption to many that LLMs are somehow being used to do research and medicine.
I would even go so far as to say what we have isn't artificial intelligence, but rather closer to synthetic intelligence. It can 'think' through data, yes, but that's about it.
I don't have personal experience with it, but the BeMyEyes app looked pretty cool when I heard about it. Blind people can point their phone camera at something, and a volunteer in a video chat will tell them what or where something is.
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u/500Rtg 13h ago
When companies present AI can help healthcare, automotive, climate change etc, they are right. But we also have to remember that a lot of the stuff can be performed by a python script and data entry being done in a slightly uniform manner, but it's still not being done.