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Ed Webb

ED announces student video contest - 0 views

www.eschoolnews.com/...index.cfm

video competition USA USED obama

shared by Ed Webb on 28 Sep 09 - Cached
  • Ed Webb on 28 Sep 09
     
    To get students invested in their education, President Barack Obama and Education Secretary Arne Duncan have announced a new video contest
Ed Webb

Oxford University Press launches the Anti-Google - 0 views

arstechnica.com/...s-launches-the-anti-google.ars

search filtering future education OUP bibliography Oxford

shared by Ed Webb on 21 Apr 10 - Cached
  • he Anti-Google: Oxford Bibliographies Online (OBO)
  • essentially a straightforward, hyperlinked collection of professionally-produced, peer-reviewed bibliographies in different subject areas—sort of a giant, interactive syllabus put together by OUP and teams of scholars in different disciplines
  • "You can't come up with a search filter that solves the problem of information overload," Zucca told Ars. OUP is betting that the solution to the problem lies in content, which is its area of expertise, and not in technology, which is Google's and Microsoft's.
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  • at least users can see exactly how the sausage is made. Contrast this to Google or Bing, where the search algorithm that produces results is a closely guarded secret.
  • The word that Zucca used a number of times in our chat was "authority," and OUP is betting that individual and institutional users will value the authority enough that they'll be willing to pay for access to the service
  • This paywall is the only feature of OBO that seems truly unfortunate, given that the competition (search and Wikipedia) is free. High school kids and motivated amateurs will be left slumming it with whatever they can get from the public Internet, and OBO's potential reach and impact will be severely limite
Ed Webb

I unintentionally created a biased AI algorithm 25 years ago - tech companies are still... - 0 views

theconversation.com/making-the-same-mistake-203734

AI algorithms race racism bias DickinsonCollege dickinson technology opinion analysis

shared by Ed Webb on 10 May 23 - No Cached
  • How and why do well-educated, well-intentioned scientists produce biased AI systems? Sociological theories of privilege provide one useful lens.
  • Scientists also face a nasty subconscious dilemma when incorporating diversity into machine learning models: Diverse, inclusive models perform worse than narrow models.
  • fairness can still be the victim of competitive pressures in academia and industry. The flawed Bard and Bing chatbots from Google and Microsoft are recent evidence of this grim reality. The commercial necessity of building market share led to the premature release of these systems.
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  • Their training data is biased. They are designed by an unrepresentative group. They face the mathematical impossibility of treating all categories equally. They must somehow trade accuracy for fairness. And their biases are hiding behind millions of inscrutable numerical parameters.
  • biased AI systems can still be created unintentionally and easily. It’s also clear that the bias in these systems can be harmful, hard to detect and even harder to eliminate.
  • with North American computer science doctoral programs graduating only about 23% female, and 3% Black and Latino students, there will continue to be many rooms and many algorithms in which underrepresented groups are not represented at all.
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