Jane Bambauer
@JaneYakowitz
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I am a professor of law and journalism at the University of Florida where I teach and write about whether/how to regulate data.
Gainesville, FL
Joined October 2011
Enough on but for. Let's talk about the forced index sharing. This is a bigger deal than it looks. Google must provide rivals with search index metadata - URLs, crawl dates, spam scores. One-time transfer at marginal cost. That's years of infrastructure investment handed over.
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Should privacy be protected using property rights? Watch Jim Harper and me debate this at AEI tomorrow morning!
aei.org
State common law is a powerful tool that may address problems many look to legislatures to solve.
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I had a great time talking about the TikTok law with @JaneYakowitz and Eugene Volokh on their new @HooverInst "Free Speech Unmuted" podcast.
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This is what I was hoping every time I break my water pressure reducing shower heads!
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Tech fears create the tightest political horseshoes.
Just catching up on @FedSoc events last week. It appears that both @ToddZywicki and Richard Epstein had bad experiences with how their personal views on COVID were treated by platforms they never paid a penny to use and now they're much more open to government regulation.
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And the "parallels" Khan draws between First Amendment law and antitrust should be terrifying for the FedSoc crowd. She says 1A overbreadth doctrine prohibits certain schemes that risk chilling speech even absent actual government actions is like how certain types of private
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The New York Times frequently takes a position against "creepy" behavioral advertising, but here is what my NYT homepage looks like right now. I can't even see the top headline. Is this obnoxiously large and un-tailored advertisement supposed to be better? Thank you?
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This is consistent with the Facebook study published in Science. But when you point out that filter bubbling is driven by demand-side factors and not supply-side nefarious algorithms, it makes people sad and irritable.
Interesting, surprising, result!
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Finally!
Good news: Automakers are finally realizing that car touchscreens are a disaster. Drivers hate them, and they're also dangerously distracting. Buttons and knobs are poised for a comeback. Me, in @Slate
https://t.co/iCrf2Hzioc
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Yes!
When ChatGPT came out I thought I wouldn't use it for learning because of its tendency to slip in some BS among 10 helpful explanations. Then I tried it, and found that it forces me to think critically about every sentence, which is the most effective mindset for learning.
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Smart EU lawyers tell us we'll know what the EU's new Digital Services Act actually requires platforms to do in about 10 years
Observation from @BerinSzoka from the floor: Platforms are expected to offer easy to understand rules. But the regulations themselves are not easy to understand.
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NEW: I’m not sure people fully appreciate how dire the US life expectancy / mortality situation has got. My column: https://t.co/dBIhT9eZLv And some utterly damning charts. 1) at *every* point on the income distribution, Americans live shorter lives than the English.
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Krish Muralidhar and Josep Domingo Ferrer have a devastating critique of the Census database reconstruction experiment forthcoming in the Journal of Official Statistics. There was no statistical justification for draconian new disclosure measures. https://t.co/ieqUoqfiov
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Some sanity.
Progressives' fascination with antitrust continues to know no bounds, and stand in the way of progressive policymaking---Ticketmaster being the latest example. 1/15
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My discussion with the @techfreedom technology policy podcast in which I defend using facial recognition for law enforcement (sometimes).
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I hope you are right, but I could imagine a lot of AI testing (for bias or for accuracy) being not very close to the original purpose, though it serves the interests of users. Then the CJEU will have to either handicap the AI industry or create a legal fiction.
In Digi, the Court determines such a close link exists. I think the same logic holds when a company conducts further processing to test its AI/algorithms for bias and discrimination. It’s close enough to the original purpose and at the end of the day serves the interests of users
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