A Father-Daughter Day at the Playground
Over the past decade, a large and opaque industry has been amassing increasing amounts of personal data. A complex ecosystem of websites, apps, social media companies, data brokers, and ad tech firms track users online and offline, harvesting their personal data. This data is pieced together, shared, aggregated, and monetized, fueling a $227 billion-a-year industry. This occurs every day, as people go about their daily lives, often without their knowledge or permission. Read More
Daily Archives: February 2, 2021
Artificial intelligence and the Gamestonk blowback
Surrounded by rallies of “power to the people,” a rag-tag group of scrappy underdogs recently managed to bring Wall Street to its knees through a dazzling display of disobedient investing that saw Gamestop stocks rocket Moonward. This unprecedented seizure of power by the proletariat has been lauded far and wide as a smack in the mouth for the establishment. Some say it’s a warning shot to the financial kings and queens of the Earth.
… A team of researchers from the University of Gottingen recently converted an algorithmic approach to fighting fake news into a method for detecting online market manipulation. … The relevancy here is that Gamestonk didn’t happen as a result of small-time investment firms fighting against their bigger cousins. Gamestonk was a meme on a message board. Read More
Who gets credit for AI-generated art?
The recent sale of an AI-generated portrait for $432,000 at Christie’s art auction has raised questions about how credit and responsibility should be allocated to individuals involved, and how the anthropomorphic perception of the AI system contributed to the artwork’s success. Here, we identify natural heterogeneity in the extent to which different people perceive AI as anthropomorphic. We find that differences in the perception of AI anthropomorphicity are associated with different allocations of responsibility to the AI system, and credit to different stakeholders involved in art production. We then show that perceptions of AI anthropomorphicity can be manipulated by changing the language used to talk about AI –– as a tool vs agent –– with consequences for artists and AI practitioners. Our findings shed light on what is at stake when we anthropomorphize AI systems, and offers an empirical lens to reason about how to allocate credit and responsibility to human stakeholders. Read More
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