It's hard to give computers common sense

[Leigha]

https://theconversation.com/an-ai-expert...nse-165600

Intriguingly, common sense has been an important challenge at the frontier of AI since the earliest days of the field in the 1950s. Despite enormous advances in AI, especially in game-playing and computer vision, machine common sense with the richness of human common sense remains a distant possibility. This may be why AI efforts designed for complex, real-world problems with many intertwining parts, such as diagnosing and recommending treatments for COVID-19 patients, sometimes fall flat.

At best, wouldn't AI ''common sense'' be a simulation of pattern recognition?

[stryder]

We develop common sense through a mixture of nurture(usually from our mothers) as well as our own capacity to self-learn. How we store that information (Mnemonics) and utilise it is what defines how competent we are with common sense. While the development of it within AI might supposedly be a struggle, it should be considered that not all people appear to have "Common sense". (In the case of those people, they tend to either have not been nurtured or blank it out perhaps having a Mnemonics issue, or further still can become re-educated by "peer pressure" to fit in, which is more about social intelligence than common sense. )

One early form of AI was referred to as "Professional Systems" where choices were already made and preset, all the AI had to do was pick one of the premade choices to use. The problem with that setup is while it offers "Out of the box" responses, it's no good working out how to utilise responses that would be needed between the lines that trigger the boxed responses. This would either mean the wrong response given or the system just blanking a response.