Measuring your talk time? Counting your filler words? What about "analyzing" your "emotions"? Companies that push LLM technology to surveil and summarize video meetings are increasingly offering to (purportedly) analyze your participation and assign your speech some metrics, all in the name of "productivity". Sociolinguist Nicole Holliday joins Alex and Emily to take apart claims about these "AI" meeting feedback tools, and reveal them to be just sparkling bossware, with little insight into how we talk.
Nicole Holliday is Acting Associate Professor of Linguistics at the University of California-Berkeley.
Quick note: Our guest for this episode had some sound equipment issues, which unfortunately affected her audio quality.
Measuring your talk time? Counting your filler words? What about "analyzing" your "emotions"? Companies that push LLM technology to surveil and summarize video meetings are increasingly offering to (purportedly) analyze your participation and assign your speech some metrics, all in the name of "productivity". Sociolinguist Nicole Holliday joins Alex and Emily to take apart claims about these "AI" meeting feedback tools, and reveal them to be just sparkling bossware, with little insight into how we talk.
Nicole Holliday is Acting Associate Professor of Linguistics at the University of California-Berkeley.
Quick note: Our guest for this episode had some sound equipment issues, which unfortunately affected her audio quality.
In January, the United Kingdom's new Labour Party prime minister, Keir Starmer, announced a new initiative to go all in on AI in the hopes of big economic returns, with a promise to “mainline” it into the country’s veins: everything from offering public data to private companies, to potentially fast-tracking miniature nuclear power plants to supply energy to data centers. UK-based researcher Gina Neff helps explain why this flashy policy proposal is mostly a blank check for big tech, and has little to offer either the economy or working people.
In January, the United Kingdom's new Labour Party prime minister, Keir Starmer, announced a new initiative to go all in on AI in the hopes of big economic returns, with a promise to “mainline” it into the country’s veins: everything from offering public data to private companies, to potentially fast-tracking miniature nuclear power plants to supply energy to data centers. UK-based researcher Gina Neff helps explain why this flashy policy proposal is mostly a blank check for big tech, and has little to offer either the economy or working people.
From Bill Gates to Mark Zuckerberg, billionaires with no education expertise keep using their big names and big dollars to hype LLMs for classrooms. Promising ‘comprehensive AI tutors', or just ‘educator-informed’ tools to address understaffed classrooms, this hype is just another round of Silicon Valley pointing to real problems -- under-supported school systems -- but then directing attention and resources to their favorite toys. Former educator and DAIR research fellow Adrienne Williams joins to explain the problems this tech-solutionist redirection fails to solve -- and the new ones it creates.
Adrienne Williams started organizing in 2018 while working as a junior high teacher for a tech owned charter school. She expanded her organizing in 2020 after her work as an Amazon delivery driver, where many of the same issues she saw in charter schools were also in evidence. Since then she has worked both on the ground and behind th
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From Bill Gates to Mark Zuckerberg, billionaires with no education expertise keep using their big names and big dollars to hype LLMs for classrooms. Promising ‘comprehensive AI tutors', or just ‘educator-informed’ tools to address understaffed classrooms, this hype is just another round of Silicon Valley pointing to real problems -- under-supported school systems -- but then directing attention and resources to their favorite toys. Former educator and DAIR research fellow Adrienne Williams joins to explain the problems this tech-solutionist redirection fails to solve -- and the new ones it creates.
Adrienne Williams started organizing in 2018 while working as a junior high teacher for a tech owned charter school. She expanded her organizing in 2020 after her work as an Amazon delivery driver, where many of the same issues she saw in charter schools were also in evidence. Since then she has worked both on the ground and behind the scenes with activists, politicians, researchers, and everyday people to enact positive change in the tech, labor, and education industries by educating the public on how these industries harm, and how that harm can be reversed. She hopes her unique experience working within and organizing against these industries helps promote a more equitable society. Adrienne is a Public Voices Fellow on Technology in the Public Interest with The OpEd Project in partnership with the MacArthur Foundation, as well as a Research Fellow at both (DAIR) and Just Tech.
The Washington Post is going all in on AI -- surely this won't be a repeat of any past, disastrous newsroom pivots! 404 Media journalist Samantha Cole joins to talk journalism, LLMs, and why synthetic text is the antithesis of good reporting.
The Washington Post is going all in on AI -- surely this won't be a repeat of any past, disastrous newsroom pivots! 404 Media journalist Samantha Cole joins to talk journalism, LLMs, and why synthetic text is the antithesis of good reporting.
Generative AI is transforming home appliances into smarter, more personalized helpers. GE's app offers AI-generated recipes, while Samsung's tech learns from user habits.
Alex and Emily put on their social scientist hats and take on the churn of research papers suggesting that LLMs could be used to replace human labor in social science research -- or even human subjects. Why these writings are essentially calls to fabricate data.
Alex and Emily put on their social scientist hats and take on the churn of research papers suggesting that LLMs could be used to replace human labor in social science research -- or even human subjects. Why these writings are essentially calls to fabricate data.
