Laura Noren's guest appearances

Laura Noren

The PolicyViz Podcast

Data Journeys

UberKnowledge

Sarah Williams

Cal Newport

Robert Kosara

Scott Murray

Mike Morrison

William Davis

Ben Johnson

Rune Madsen

Brian McFee

Kirk Borne

Manuel Lima

Jimmy Soni

Carmine Gallo

Andrew Ng

Alberto Cairo

OwlTail

In this podcast Laura Noren, VP of Privacy and Trust at Obsidian Security, discusses the impact of CCPA on privacy and is disappointed that it’s very name, California Consumer Privacy Act, “assumes that everyone’s most important status in the world is as a consumer.” The challenge of managing consumer requests to see data held or request full deletion has cost implications for most enterprises. Laura has long believed the best way for companies to handle this is to design data sets to decay. Interestingly, this would not only save businesses money but also improve privacy for consumers.  01:12 — CCPA – identity validation is proving an extra headache when requesting information. 04:37 — Data deletion as a service 06:37 — Decay by design. A business cost saving that could actually enhance consumer privacy. 08:57 — Academia is leading the way in helping citizens choose what data they share.  13:49 — Diversity in computer science remains a problem. 16:30 — A human-in-the-loop algorithmic approach to combating bias.  If you’d like to hear more from Laura, you can find her previous podcast with us here.

In this podcast <a href="https://www.linkedin.com/in/laura-noren-93a846145/" rel="nofollow" target="_blank">Laura Noren, VP of Privacy and Trust at Obsidian Security</a>, discusses the impact of CCPA on privacy and is disappointed that it’s very name, California Consumer Privacy Act, “assumes that everyone’s most important status in the world is as a consumer.” The challenge of managing consumer requests to see data held or request full deletion has cost implications for most enterprises. Laura has long believed the best way for companies to handle this is to design data sets to decay. Interestingly, this would not only save businesses money but also improve privacy for consumers. <ul> <li>01:12 — CCPA – identity validation is proving an extra headache when requesting information.</li> <li>04:37 — Data deletion as a service</li> <li>06:37 — Decay by design. A business cost saving that could actually enhance consumer privacy.</li> <li>08:57 — Academia is leading the way in helping citizens choose what data they share. </li> <li>13:49 — Diversity in computer science remains a problem.</li> <li>16:30 — A human-in-the-loop algorithmic approach to combating bias.</li> </ul> If you’d like to hear more from Laura, you can find <a href="https://www.uberknowledge.com/laura-noren-director-of-research-for-obsidian/" rel="nofollow" target="_blank">her previous podcast with us here</a>.

#106 Laura Noren — Decay by Design

Laura Noren is a data science ethicist and researcher currently working in cybersecurity at Obsidian Security in Newport Beach. She holds undergraduate degrees from MIT, a PhD from NYU where she recently completed a postdoc in the Center for Data Science. Her work has been covered in The New York Times, Canada's Globe and Mail, American Public Media's Marketplace program, in numerous academic journals and international conferences. Dr. Norén is a champion of open source software and those who write it.   Enjoy the show!   Show Notes:    [3:55] Laura explains how she produces the  Data Science Community Newsletter, covering things like how the  department of defense just got billions in funding to do AI research. How do you incorporate humor into such rigorous coverage?   [10:22] How can you distinguish signal from noise in choosing a news source? [12:13] When and how to control your biases in your work when in the heat of the moment. [14:05] Laura’s interests in data science began as an undergraduate at MIT, surrounded by people who build. [16:10] Sociology in the context of people who build, since people are the *actual* most complicated systems. [18:00] What important things defines a profession? [19:30] What’s the difference between ethics and morals? [22:04] How ethics affects the field of data science, specifically. [25:35] The data science ethicist as person who is a creator, and not just there to put up stop signs. [31:40] How can companies strike a balance between hard stops in a product and more negotiated unique messaging for customers to address ethical employees? [38:53] How can smaller companies who can’t afford a Chief Ethics Officer monitor and address ethical issues? [48:30] Techniques that can be used by individuals and organizations to identify and address ethical issues in a company. [50:00] How data scientists can navigate non-black and white ethical issues in their own work. [55:15] Laura’s recommendations for ethics 101: Data and Society, AI Now Institute, and Open AI. [1:00:00] Laura ends off with a call-to-action to start conversations on ethics with your colleagues.    If you enjoyed this episode of Data Journeys, the best way to support the show is by leaving a  review on iTunes and sharing on your social medias using the hashtag #datajourneys.   Laura’s Twitter: https://twitter.com/digitalflaneuse?lang=en

<a href="https://www.linkedin.com/in/laura-noren-93a846145/" rel="nofollow" target="_blank">Laura Noren</a> is a data science ethicist and researcher currently working in cybersecurity at Obsidian Security in Newport Beach. She holds undergraduate degrees from MIT, a PhD from NYU where she recently completed a postdoc in the Center for Data Science. Her work has been covered in The New York Times, Canada's Globe and Mail, American Public Media's Marketplace program, in numerous academic journals and international conferences. Dr. Norén is a champion of open source software and those who write it. Enjoy the show! Show Notes: <ul> <li>[3:55] Laura explains how she produces the <a href="https://www.google.com/search?q=laura+noren+data+science+newsletter&amp;oq=laura+noren+data+science+newsletter&amp;aqs=chrome..69i57.5989j0j7&amp;sourceid=chrome&amp;ie=UTF-8" rel="nofollow" target="_blank"> Data Science Community Newsletter</a>, covering things like how the <a href="https://www.washingtonpost.com/technology/2018/09/07/defense-department-pledges-billions-toward-artificial-intelligence-research/?noredirect=on" rel="nofollow" target="_blank"> department of defense just got billions in funding to do AI research.</a> How do you incorporate humor into such rigorous coverage?</li> </ul> <ul> <li>[10:22] How can you distinguish signal from noise in choosing a news source?</li> <li>[12:13] When and how to control your biases in your work when in the heat of the moment.</li> <li>[14:05] Laura’s interests in data science began as an undergraduate at MIT, surrounded by people who build.</li> <li>[16:10] Sociology in the context of people who build, since people are the *actual* most complicated systems.</li> <li>[18:00] What important things defines a profession?</li> <li>[19:30] What’s the difference between ethics and morals?</li> <li>[22:04] How ethics affects the field of data science, specifically.</li> <li>[25:35] The data science ethicist as person who is a creator, and not just there to put up stop signs.</li> <li>[31:40] How can companies strike a balance between hard stops in a product and more negotiated unique messaging for customers to address ethical employees?</li> <li>[38:53] How can smaller companies who can’t afford a Chief Ethics Officer monitor and address ethical issues?</li> <li>[48:30] Techniques that can be used by individuals and organizations to identify and address ethical issues in a company.</li> <li>[50:00] How data scientists can navigate non-black and white ethical issues in their own work.</li> <li>[55:15] Laura’s recommendations for ethics 101: <a href="https://datasociety.net/" rel="nofollow" target="_blank">Data and Society</a>, <a href="https://ainowinstitute.org/" rel="nofollow" target="_blank">AI Now Institute</a>, and <a href="https://openai.com/" rel="nofollow" target="_blank">Open AI</a>.</li> <li>[1:00:00] Laura ends off with a call-to-action to start conversations on ethics with your colleagues.</li> </ul> If you enjoyed this episode of Data Journeys, the best way to support the show is by leaving a <a href="https://itunes.apple.com/us/podcast/data-journeys/id1358963399?mt=2" rel="nofollow" target="_blank"> review on iTunes</a> and sharing on your social medias using the hashtag #datajourneys. Laura’s Twitter: <a href="https://twitter.com/digitalflaneuse?lang=en" rel="nofollow" target="_blank">https://twitter.com/digitalflaneuse?lang=en</a>

#25: Laura Noren: The Ethics of Data Science

Hetan Shah

On last week’s episode, I sat outside Facebook and chatted with Andy Kirk about our experience at the Social Science Foo Camp, a two-and-a-half day conference at Facebook that brought together all sorts of social scientists. One of the first... The post Episode #115: Data Ethics with Laura Noren &amp; Hetan Shah appeared first on PolicyViz.

On last week’s episode, I sat outside Facebook and chatted with Andy Kirk about our experience at the Social Science Foo Camp, a two-and-a-half day conference at Facebook that brought together all sorts of social scientists. One of the first... The post <a href="https://policyviz.com/podcast/episode-115-data-ethics-with-laura-noren-hetan-shah/" rel="nofollow" target="_blank">Episode #115: Data Ethics with Laura Noren &amp; Hetan Shah</a> appeared first on <a href="https://policyviz.com" rel="nofollow" target="_blank">PolicyViz</a>.

Episode #115: Data Ethics with Laura Noren & Hetan Shah