Wow, we couldn’t come up with something better to use AI for than assessing the mental states of CEOs? Let them go cry on their yachts and wipe their tears with Benjamins.
prifecta on
The human brain is still too complex for man made technology to decode accurately. Sure there are patterns and signs but too many variables like personality traits, psychological manipulation (some people portray to be more invested/concerned than they are to seem committed), health factors, personal distractions, etc
Tekl on
It would analyze homeless, but unfortunately, there’s no data because they are actually in the real world struggling.
jimmyjrsickmoves on
Use AI to replace CEOs and middle management. Pay human labor more.
Daxmar29 on
CEO- Yeah earnings are down.
AI- this CEO may be depressed.
Wow! What a modern marvel!
pat_the_catdad on
I don’t need AI to know why I’m shorting Tesla with everything I’ve got due to watching Elon spiral out of control.
SmartGirl62 on
How about detecting psychopathic narcissistic politicians or those running for office.
blazelet on
Something is driving their obsessive need to prove themselves and outperform their peers. Its not contentedness with life.
Gold_Responsibility8 on
Some people don’t even understand that this could be used to predict market moves
Otherwise-Sun2486 on
They don’t even care they still be making millions a year even on a bad year.
tedfergeson on
Two things that I don’t care about. Three actually. CEO’s, their depression, and AI.
vonkraush1010 on
Look at this point this is like those facial tic experts from 2 decades ago who claimed they could read people almost perfectly. It’s just impressive sounding hogwash.
Unusual-Bench1000 on
Good CEOs are actors of emotion. They can act up or down depending on the company weather. Real mental health is a private matter. You can really tell they were depressed when the window breaks and they fall out of it.
artwarrior on
You mean they are not happy after earning in one hour on Jan 1st what an average worker makes in a year?
Maybe their necks hurt from always looking over their shoulders?
laserborg on
I really wonder what’s the training data for something like this.
xFblthpx on
I take it they have a lot of data of depressed people giving presentations?
Dialogue involving presentation is very different in tone and cadence than phone calls or other forms of dialogue.
I can’t imagine a model like this being remotely close to accurate unless such a data repo exists.
Edit:
Took a deeper dive and they do control for uninterrupted speech patterns but not specifically for presentations. Also weirdly they don’t account for time of day, which I imagine would have an affect on tone and intonation.
The model they are using does have good accuracy on training data, but I’m skeptical of monologuing depressed people in private being close enough to the cadence of a very public earnings call presentation.
Frustrateduser02 on
I wonder what they had to sign or even were given the choice to opt in. Stock options maybe?
18 Comments
From the article
>CEOs might be able to give away mental health challenges just by how they talk about their companies’ earnings to investors. A [study](https://onlinelibrary.wiley.com/doi/10.1111/1475-679X.12590?utm_campaign=publicity&utm_content=WRH_1_6_25&utm_medium=email&utm_source=publicity&utm_term=JOAR) published this month in the Journal of Accounting Research used artificial intelligence to analyze chief executives’ speech recordings to identify depression.
>Researchers from [Indiana University’s Kelley School of Business](https://fortune.com/education/business/indiana-university-kelley/) and the [University of Kentucky](https://fortune.com/education/business/university-of-kentucky-gatton/) debuted a measure of identifying the severity and prevalence of depression among chief executives by training AI language models to analyze vocal patterns of CEOs. They analyzed data from more than 14,500 earnings calls from S&P 500 companies from 2010 to 2021.
Wow, we couldn’t come up with something better to use AI for than assessing the mental states of CEOs? Let them go cry on their yachts and wipe their tears with Benjamins.
The human brain is still too complex for man made technology to decode accurately. Sure there are patterns and signs but too many variables like personality traits, psychological manipulation (some people portray to be more invested/concerned than they are to seem committed), health factors, personal distractions, etc
It would analyze homeless, but unfortunately, there’s no data because they are actually in the real world struggling.
Use AI to replace CEOs and middle management. Pay human labor more.
CEO- Yeah earnings are down.
AI- this CEO may be depressed.
Wow! What a modern marvel!
I don’t need AI to know why I’m shorting Tesla with everything I’ve got due to watching Elon spiral out of control.
How about detecting psychopathic narcissistic politicians or those running for office.
Something is driving their obsessive need to prove themselves and outperform their peers. Its not contentedness with life.
Some people don’t even understand that this could be used to predict market moves
They don’t even care they still be making millions a year even on a bad year.
Two things that I don’t care about. Three actually. CEO’s, their depression, and AI.
Look at this point this is like those facial tic experts from 2 decades ago who claimed they could read people almost perfectly. It’s just impressive sounding hogwash.
Good CEOs are actors of emotion. They can act up or down depending on the company weather. Real mental health is a private matter. You can really tell they were depressed when the window breaks and they fall out of it.
You mean they are not happy after earning in one hour on Jan 1st what an average worker makes in a year?
Maybe their necks hurt from always looking over their shoulders?
I really wonder what’s the training data for something like this.
I take it they have a lot of data of depressed people giving presentations?
Dialogue involving presentation is very different in tone and cadence than phone calls or other forms of dialogue.
I can’t imagine a model like this being remotely close to accurate unless such a data repo exists.
Edit:
Took a deeper dive and they do control for uninterrupted speech patterns but not specifically for presentations. Also weirdly they don’t account for time of day, which I imagine would have an affect on tone and intonation.
The model they are using does have good accuracy on training data, but I’m skeptical of monologuing depressed people in private being close enough to the cadence of a very public earnings call presentation.
I wonder what they had to sign or even were given the choice to opt in. Stock options maybe?