Tautachrome Inc (TTCM)

[Matt1963]

If they can get a handle on these issues, then they're off to the races, and no mistake:

https://www.bloomberg.com/news/newsletters/2023-06-09/how-generative-ai-can-amplify-racial-gender-stereotypes-big-take
https://nypost.com/2023/06/09/ai-tool-stable-diffusion-amplifies-race-and-gender-stereotypes/
https://www.namecheap.com/blog/addressing-racial-and-gender-bias-in-generative-ai/
https://www.imd.org/research-knowledge/digital/articles/ais-bias-challenge/
https://www.weforum.org/agenda/2021/07/ai-machine-learning-bias-discrimination/

Articles on this subject abound, but the general consensus is the same and can perhaps be summed up thus:

"Until we can fix AI’s bias problem humans have an important role to play in designing new AI systems to avoid bias and prevent discrimination. We, as human decision-makers still need to be wary of AI and must have the final say on whether certain predictions get acted upon, if we want to prevent discrimination in many important areas of business."

It's clear the current crop of offerings out there, doesn't have the critical capability to eliminate bias (as in society as a whole).

And so to how can they niche themselves. Well, leveraging the African-American angle to address the issue of Bias would be a great start wouldn't it? That would build the moat on which to float the whale investors' boat (though I expect if they're a whale, they can swim!).

Undoubtedly, they need to be aligned with leading researchers in this area,

In that regard, firstly I'd say, that academic institutions are the vital link between the development and commercialisation of their offering. These guys seem to have a bit of a lead on it stateside:

https://hbr.org/2019/10/what-do-we-do-about-the-biases-in-ai
https://sloanreview.mit.edu/article/manage-ai-bias-instead-of-trying-to-eliminate-it/
https://www.gsb.stanford.edu/faculty-research/case-studies/designing-ai-all-primer-bias-artificial-intelligence-systems

I think a few people might have heard of them, no?

Or perhaps my alma mater:

https://warwick.ac.uk/fac/cross_fac/academy/activities/seminar/ai-and-race-webinar
https://warwick.ac.uk/fac/cross_fac/cim/research/shaping-21st-century-ai/shifting-ai-report/shai_workshop_report_17_april_2023.pdf
https://warwick.ac.uk/newsandevents/pressreleases/an_ethical_eye/

There's a massive body of research into this area now, surely it's not beyond the wit of man (a gender bias idiom if ever there was one) to see where they need to position themselves.

Then there are the leading AI-driven businesses including:

https://www.datamation.com/featured/ai-companies/

What's to stop Artelligence from seeking to form strategic alliances upstream (at the academic research level) and perhaps JV's or agreed MOU's to cooperate with downstream commercial partners?

If I were them, I'd be looking to partner with a leading business who are playing catch-up with the likes of ChatGPT, because they probably need the input, to fast-track their development of a competing offering.

What I'm saying is, they shouldn't try to go it alone, but they may be able to carve out an important and hitherto (it seems), untapped bridging role within the value chain between the two major stakeholder groups.

Just a few thoughts on a Sunday morning.