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Humans provide neccessary ‘checks and balance’ for AI, says Lattice CEO

Humans provide neccessary ‘checks and balance’ for AI, says Lattice CEO

Of all the words in the dictionary, Sarah Franklin says “balance” is perhaps her favorite – especially when it comes to companies embracing AI.

Franklin leads the Jack Altman-founded employee performance software company Lattice, which is now worth $3 billion. Both on stage at SXSW London and in conversation with TechCrunch, she spoke a lot about balance — the opportunities in finding it, and the risks of not having it during this AI revolution. 

“We put people first,” Franklin told TechCrunch, referring to Lattice, which has started to adopt more AI and automation features. 

Although some companies are touting AI as a way to replace massive numbers of workers, some tech leaders are speaking more openly about the importance of striking a balance at their companies: retaining human employees while augmenting them with AI assistants and “agents.” At SXSW London, Franklin said that looking to fully replace human workers might seem like a good idea in the short term for cost-saving reasons, but such a move might not actually be attractive to customers.

“It’s important to ask yourself, ‘Are you building for the success of the AI first [or are] you building for the success of the people and your customers first?” she said, adding that trust is the most important currency any founder or startup company has, and that building trust with consumers is paramount. “It’s good to have efficiency, but you don’t want to trade out trust.” 

Franklin also stressed the importance of transparency, accountability, and responsibility when it comes to AI. Leaders need to be transparent with employees about what the AI is doing, the AI must be narrowly applied to a particular goal so people understand how it works, and humans must ultimately be held accountable for what the AI impacts. 

“Otherwise, we are then in service of the AI versus the AI being in service of us,” Franklin continued. 

In an interview with TechCrunch after her SXSW appearance, Franklin said Lattice has built an AI HR agent that gives proactive insights and assists employees in one-on-one meetings. The company also has a platform where Lattice clients can create their own custom agents for their businesses. 

Franklin was adamant that humans must have oversight of any AI technology implemented by a company. “It’s a way to just have the regular checks and balances that we’re used to in our workforce,” she told TechCrunch.

She thinks the victors in this AI moment in history will be the ones who learn how to put people first. According to Franklin, it’s one of the most important guardrails that a company can have on AI. 

“We all have a responsibility to make sure that we’re doing this for the people of society,” Franklin said. “Human connection cannot be replaced, and the winners are going to be the companies that understand that.” 

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Multiple sources are reporting that the Trump administration has dismissed the entire National Science Board (NSB). The NSB advises the president and Congress on the National Science Foundation (NSF), which has already been funding research at historically low levels and has seen significant delays in doling out that funding. The NSF has been fundamental in helping develop technology used in MRIs, cellphones, and it even helped get Duolingo get off the ground.

In a statement, Zoe Lofgren, the ranking Democrat on the House Science, Space, and Technology Committee, said:

“This is the latest stupid move made by a president who continues to harm science and American innovation. The NSB is apolitical. It advises the president on the future of NSF. It unfortunately is no surprise a president who has attacked NSF from day one would seek to destroy the board that helps guide the Foundation. Will the president fill the NSB with MAGA loyalists who won’t stand up to him as he hands over our leadership in science to our adversaries? A real bozo the clown move.”

#Trump #fires #entire #National #Science #BoardNews,Policy,Politics,Science">Trump fires the entire National Science BoardMultiple sources are reporting that the Trump administration has dismissed the entire National Science Board (NSB). The NSB advises the president and Congress on the National Science Foundation (NSF), which has already been funding research at historically low levels and has seen significant delays in doling out that funding. The NSF has been fundamental in helping develop technology used in MRIs, cellphones, and it even helped get Duolingo get off the ground.In a statement, Zoe Lofgren, the ranking Democrat on the House Science, Space, and Technology Committee, said:“This is the latest stupid move made by a president who continues to harm science and American innovation. The NSB is apolitical. It advises the president on the future of NSF. It unfortunately is no surprise a president who has attacked NSF from day one would seek to destroy the board that helps guide the Foundation. Will the president fill the NSB with MAGA loyalists who won’t stand up to him as he hands over our leadership in science to our adversaries? A real bozo the clown move.”#Trump #fires #entire #National #Science #BoardNews,Policy,Politics,Science

Multiple sources are reporting that the Trump administration has dismissed the entire National Science Board (NSB). The NSB advises the president and Congress on the National Science Foundation (NSF), which has already been funding research at historically low levels and has seen significant delays in doling out that funding. The NSF has been fundamental in helping develop technology used in MRIs, cellphones, and it even helped get Duolingo get off the ground.

In a statement, Zoe Lofgren, the ranking Democrat on the House Science, Space, and Technology Committee, said:

“This is the latest stupid move made by a president who continues to harm science and American innovation. The NSB is apolitical. It advises the president on the future of NSF. It unfortunately is no surprise a president who has attacked NSF from day one would seek to destroy the board that helps guide the Foundation. Will the president fill the NSB with MAGA loyalists who won’t stand up to him as he hands over our leadership in science to our adversaries? A real bozo the clown move.”

#Trump #fires #entire #National #Science #BoardNews,Policy,Politics,Science">Trump fires the entire National Science Board

Multiple sources are reporting that the Trump administration has dismissed the entire National Science Board (NSB). The NSB advises the president and Congress on the National Science Foundation (NSF), which has already been funding research at historically low levels and has seen significant delays in doling out that funding. The NSF has been fundamental in helping develop technology used in MRIs, cellphones, and it even helped get Duolingo get off the ground.

In a statement, Zoe Lofgren, the ranking Democrat on the House Science, Space, and Technology Committee, said:

“This is the latest stupid move made by a president who continues to harm science and American innovation. The NSB is apolitical. It advises the president on the future of NSF. It unfortunately is no surprise a president who has attacked NSF from day one would seek to destroy the board that helps guide the Foundation. Will the president fill the NSB with MAGA loyalists who won’t stand up to him as he hands over our leadership in science to our adversaries? A real bozo the clown move.”

#Trump #fires #entire #National #Science #BoardNews,Policy,Politics,Science
In a recent experiment, Anthropic created a classified marketplace where AI agents represented both buyers and sellers, striking real deals for real goods and real money.

The company admitted this test — which it called Project Deal — was only “a pilot experiment with a self-selected participant pool” of 69 Anthropic employees who were given a budget of $100 (paid out via gift cards) to buy stuff from their coworkers.

Nonetheless, Anthropic said it was “struck by how well Project Deal worked,” with 186 deals made, totaling more than $4,000 in value.

The company said it actually ran four separate marketplaces with different models — one that was “real” (where everyone was represented by the company’s most-advanced model, and with deals actually honored after the experiment) and another three for study. 

Apparently, when users are represented by more advanced models, they get “objectively better outcomes,” Anthropic said. But users didn’t seem to notice the disparity, raising the possibility of “‘agent quality’ gaps” where “people on the losing end might not realize they’re worse off.”

Also, the initial instructions given to the agents didn’t appear to affect sale likelihood or the negotiated prices.

#Anthropic #created #test #marketplace #agentonagent #commerce #TechCrunchAnthropic,project deal">Anthropic created a test marketplace for agent-on-agent commerce | TechCrunch
In a recent experiment, Anthropic created a classified marketplace where AI agents represented both buyers and sellers, striking real deals for real goods and real money.

The company admitted this test — which it called Project Deal — was only “a pilot experiment with a self-selected participant pool” of 69 Anthropic employees who were given a budget of 0 (paid out via gift cards) to buy stuff from their coworkers.







Nonetheless, Anthropic said it was “struck by how well Project Deal worked,” with 186 deals made, totaling more than ,000 in value.

The company said it actually ran four separate marketplaces with different models — one that was “real” (where everyone was represented by the company’s most-advanced model, and with deals actually honored after the experiment) and another three for study. 

Apparently, when users are represented by more advanced models, they get “objectively better outcomes,” Anthropic said. But users didn’t seem to notice the disparity, raising the possibility of “‘agent quality’ gaps” where “people on the losing end might not realize they’re worse off.”

Also, the initial instructions given to the agents didn’t appear to affect sale likelihood or the negotiated prices.
#Anthropic #created #test #marketplace #agentonagent #commerce #TechCrunchAnthropic,project deal

The company admitted this test — which it called Project Deal — was only “a pilot experiment with a self-selected participant pool” of 69 Anthropic employees who were given a budget of $100 (paid out via gift cards) to buy stuff from their coworkers.

Nonetheless, Anthropic said it was “struck by how well Project Deal worked,” with 186 deals made, totaling more than $4,000 in value.

The company said it actually ran four separate marketplaces with different models — one that was “real” (where everyone was represented by the company’s most-advanced model, and with deals actually honored after the experiment) and another three for study. 

Apparently, when users are represented by more advanced models, they get “objectively better outcomes,” Anthropic said. But users didn’t seem to notice the disparity, raising the possibility of “‘agent quality’ gaps” where “people on the losing end might not realize they’re worse off.”

Also, the initial instructions given to the agents didn’t appear to affect sale likelihood or the negotiated prices.

#Anthropic #created #test #marketplace #agentonagent #commerce #TechCrunchAnthropic,project deal">Anthropic created a test marketplace for agent-on-agent commerce | TechCrunch

In a recent experiment, Anthropic created a classified marketplace where AI agents represented both buyers and sellers, striking real deals for real goods and real money.

The company admitted this test — which it called Project Deal — was only “a pilot experiment with a self-selected participant pool” of 69 Anthropic employees who were given a budget of $100 (paid out via gift cards) to buy stuff from their coworkers.

Nonetheless, Anthropic said it was “struck by how well Project Deal worked,” with 186 deals made, totaling more than $4,000 in value.

The company said it actually ran four separate marketplaces with different models — one that was “real” (where everyone was represented by the company’s most-advanced model, and with deals actually honored after the experiment) and another three for study. 

Apparently, when users are represented by more advanced models, they get “objectively better outcomes,” Anthropic said. But users didn’t seem to notice the disparity, raising the possibility of “‘agent quality’ gaps” where “people on the losing end might not realize they’re worse off.”

Also, the initial instructions given to the agents didn’t appear to affect sale likelihood or the negotiated prices.

#Anthropic #created #test #marketplace #agentonagent #commerce #TechCrunchAnthropic,project deal

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