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AI Friend or Foe to the Cosmetic chemist?
Join us for this IFSCC hosted debate about the benefits and downsides of AI and it’s impact on the job of a cosmetic chemist. I’m honestly torn on the issue but will be arguing the “benefits” side.
https://event.webinarjam.com/register/159/oxw89spqWhat do you think? Are these new AI tools good for cosmetic chemists or bad?
event.webinarjam.com
AI in the Lab: Friend or Foe to Cosmetic Chemists?
AI in the Lab: Friend or Foe to Cosmetic Chemists?
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11 Replies
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From the point of view of just using Goofle… Ai is as worthless as tits on a boar. It simply pulls material from Mommy blogger sites and presents it as accurate. Which of course it is not.
I realize that is not the aspect your question is directed at…but it is sending beginners and sub-beginners down a treacherous and slippery slope. If you thought it was bad before….you ain’t seen nut’n yet!
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Again on the negative side - there are hundreds of publications - usually from academics - that would have some of the silliest preservative systems useful.
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I only used a couple of tools for formulation: Mini tab, and GPTs.
With the former, I heard from different disciplines that younger professionals rely more and more on this tool and neglect formal training and knowledge, which I find more like a disadvantage since that tool needs to be feed, and its results interpretation will lack the perspective that knowledge and practical experience provides.
With GPTs, I find that you need to e really precise, to the point that you really need to know your stuff for it to be useful (else, it’ll lie right to your face). Also, when reviewing evidence, GPTs might often miss critical papers/reports.
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I’m aware Mini tab is not an AI tool….it’s just my monthly rage against it 🤓
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Maybe this about sums it up?
Just change a couple words around……..and conclude that you better learn to make it yourself. 😉
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Thanks guys! Hopefully, you get a chance to tune in.
I’m taking the “it’s great” side but that is not exactly how I feel about the topic. I do see the real problems with it.
I will add however, in my testing it has produced some surprisingly good starting formulas. But you do have to steer it away from it’s terrible suggestions for preservation.
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I enjoyed this one today:
Man who asked ChatGPT about cutting out salt from his diet was hospitalized with hallucinations
nbcnews.com
Man who asked ChatGPT about cutting out salt from his diet was hospitalized with hallucinations
A case study in a medical journal reported that the 60-year-old man replaced sodium chloride with sodium bromide after consulting the AI bot.
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I am a software developer. I perceive AI as a great automation tool that can speedup your work. And like with any automation tool - you have to be smarter than the tool to use it efficiently.
There are a lot of code online, so AI had a huge database to train on. And yet the results even for coding are suboptimal, so you have to use with caution anyway. It is a google on steroids, nothing else.
What about formulation - there is no huge database to train on. Skincare formulation is mostly about experience rather than . The topic is too complex and the training data available is too sparse. Therefore AI can’t be trusted in skincare formulation from scratch.
What it can do then? It can pitch you ideas (marketing, labeling, product types, famous brands etc). It can do basic school chemistry math (e.g. how much NaOH I need to neutralize 10g of lactic acid 80% to pH 4.0). But nothing more.
Recently reddit launched AI to query their database. I suspect it will be a good tool for marketing research.
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I agree that there isn’t a huge database of formulation to train on, however, there also isn’t a huge variety of formulas. Of the top 10 body washes, 8 of them use a blend of Sodium Laureth Sulfate and Cocamidopropyl Betaine. I think you’ll find similar results for most any category of personal care product. The ranges of use of all the ingredients is pretty easily obtained as every supplier posts a “use range” for every ingredient they use.
I agree AI isn’t going to give you a complete finished formula (yet) but it can get you a pretty good starting formula that you merely have to tweak.
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In science AI risks profound BS..
A post on Researchgate raised my suspicions so I read a university educator’s most recent a published article. Checked a couple of references that seemed kind sketchy. Neither existed (not in Google Scholar or in the journal he claimed for them). Went on to find most of the references were fictional, and one that existed was misquoted. AI check of its abstract at three sites - all concluded it was AI generated.
Haven’t decided what I’ll do about it - it’s not in my field. BUT do not take AI as accurate.
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The problem of research papers being AI generated is just starting. I’m not sure how to solve the problem.
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