2 min readfrom Machine Learning

Could ML be used to automate C-suite organizational duties? [D]

We often see worry from workers that ML techniques will either fully replace them, or jostle them violently economically such that their earnings and well-being are impacted. Concurrently, many tech companies resist unionization/"guild" efforts to protect the careers of technically capable employees, software engineers in particular. And cynically we might suspect a trend towards "corporatism" as companies grow larger, even if they're initially established by well-meaning, competent, and technical-minded people.

While I acknowledge a tongue-in-cheek quality to this discussion - versus efforts to automate software engineering, where is the SoTA on automating logistical decisions made be CEOs/CFOs/CTOs?

(I'm envisioning, idealistically, a "cooperative" or guild formed by equal contributors of technical content where the business itself is generically managed in a decentralized way, specifically where ML facilitates centralized decision making when it becomes strictly necessary. Frankly, a core advantage of this would be an ideal robustness to "adversarial" overtake of the cooperative, if the ML agent was explicitly pre-designed both to 1) prioritize the productivity and welfare of the employees and 2) to resist ML-space adversarial attacks trying to falsely incentivize it towards "selling out."

The human benefit to the employees here would be decision-making free of "The Mask of Sanity"-type behavioral failings, but perhaps also the facilitation of direct-democracy-at-scale. You could imagine teams electing representatives at only the scales they're comfortable with, and CEO-Bot managing the rest as a balanced-rewards problem.)

Intuitively, some might suspect C-suite employees are not meritorious, but I guess the question is, what functions do they perform that resist automation? Schmoozing, elicitation during funding rounds, having a keen eye to the business environment?

As silly as this is, humor me: the standard IMO wouldn't be to produce an ideal CEO, just a CEO-Bot that's less mercurial or self-centered than a CEO humans would prefer to avoid.

So: what concerns jump out at you? Biased hiring data, adversarial attacks, lack of capacity in XYZ direction?

submitted by /u/RepresentativeBee600
[link] [comments]

Want to read more?

Check out the full article on the original site

View original article

Tagged with

#digital transformation in spreadsheet software
#business intelligence tools
#rows.com
#AI formula generation techniques
#big data management in spreadsheets
#self-service analytics tools
#generative AI for data analysis
#conversational data analysis
#Excel alternatives for data analysis
#real-time data collaboration
#financial modeling with spreadsheets
#automation in spreadsheet workflows
#intelligent data visualization
#generative AI automation
#data visualization tools
#workflow automation
#enterprise data management
#big data performance
#self-service analytics
#cognitive automation