Millennials, Progressives, Trophy Hunting, Algorithm Prejudice

Millennials, Progressives, Trophy Hunting, Algorithm Prejudice

Top of Mind with Julie Rose

  • Aug 19, 2015 9:00 pm
  • 1:43:36 mins

International Update (1:07) Guest: Eric Jensen, Professor of Law at BYU  ISIS is top of mind today. We’re nearing the one-year-mark of America’s involvement in the fight against the self-declared “Islamic State.” Call it a war, if you like--it’s one President Obama still doesn’t have Congressional authority to wage.  Millennials Living with Parents (34:49) Guest: Richard Fry, PhD., Senior Researcher at the Pew Research Center  Employment and average wages are on the rise – all good news for young adults entering the labor force. But here’s a number not rising where millennials are concerned: the percentage of millennials moving out of their parents’ house and on to independent life.  Progressives (51:11) Guest: Grant Madsen, PhD., Professor of History at BYU  For this week's "Our American Heritage" segment, Grant Madsen sits down with Marcus Smith to discuss The Progressives.  Trophy Hunting (1:15:12) Guest: Richard Hayes, PhD., Visting Lecturer at Stanford Law and a member of the White House Advisory Council on Wildlife Trafficking Prosecutors in Zimbabwe have now charged a local tour guide and farmer in facilitating the death of Cecil the Lion by an American dentist last month. The hunt appears to have been conducted illegally and has sparked intense international debate over the morality and legality of trophy hunting African animals. Protestors are demanding an end to the practice. A number of US airlines have stopped allowing the spoils of such hunts to return to the states as cargo on their planes. Today we discuss possible policies that might discourage trophy hunting.  Algorithm Prejudice (1:31:11) Guest: Suresh Venkatasubramania, PhD., Associate and Assistant Professor at the University of Utah's School of Computing  It’s common these days for HR departments in large companies to use computer programs to cull through thousands of job applications and make the initial cut. It’s efficient and seemingly less subject to the subtle bias of humans. Except, maybe not that last part. Research has found that algorithms can actually be as biased as human beings.

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