Artificial intelligence and its limits – An understanding of AI’s limitations is starting to sink in

Are we reaching the “AI Winter” or end of the “hype cycle”? As the write up argues (well), that much of the debate around the AI/machine learning and pattern recognition was driven by the investor “hype cycle” and their echo chambers.

We are not heading towards AI Winter but bracing for the inevitable slow down of the AI winter.

For context, I tried to filter out the “tweets” and I only came across scammy websites and hashtags with “influencers” pushing out the “narrative”. It is apparent that radiologists would find their “jobs under threat” and would raise the heckles. However, it would require a complete systematic overhaul of regulations to place the liability.

The second set of problems runs deeper, and concerns the algorithms themselves. Machine learning uses thousands or millions of examples to train a software model (the structure of which is loosely based on the neural architecture of the brain). The resulting systems can do some tasks, such as recognising images or speech, far more reliably than those programmed the traditional way with hand-crafted rules, but they are not “intelligent” in the way that most people understand the term.

Artificial intelligence and its limits – An understanding of AI’s limitations is starting to sink in | Technology Quarterly | The Economist

The business use case for the “machine learning” is waning and I doubt if it could replace interpretations from Excel sheets.

Here’s an interesting blurb and serves as a wrap up of the excellent discussion (emphasis mine):

Without another breakthrough, these drawbacks put fundamental limits on what ai can and cannot do. Self-driving cars, which must navigate an ever-changing world, are already delayed, and may never arrive at all. Systems that deal with language, like chatbots and personal assistants, are built on statistical approaches that generate a shallow appearance of understanding, without the reality. That will limit how useful they can become. Existential worries about clever computers making radiologists or lorry drivers obsolete—let alone, as some doom-mongers suggest, posing a threat to humanity’s survival—seem overblown.