If you want to learn something truly fascinating that you might not have considered before, go to your favorite search engine and look up the phrase, “big data is a civil rights issue.” As you scan through the search results and glean tidbits of data from the descriptions, or skim the various articles, you will no doubt see that the world is sitting on a powder keg of outrage. Algorithms and automation threaten to divide my country more profoundly than any political unrest around civil war statues, rumors of Russian collusion or fake hate crimes ever could. Indeed, when it comes to racial disparity in terms of opportunity or various life advancements, nothing is more injurious than the unintended consequences of machine learning. When I consider the effects on society and the labor market, I shudder at the pending reality of it all.
Just over a year ago, I wrote an article on big data and speculated on the societal implications. I called it “This is Why Big Data is a Civil Rights Issue.” Now, in this podcast, I am revisiting that topic and going a bit deeper in my analysis. This report told in 3 parts is…
- BIG DATA, BIG BIAS – Where I explore the unintended consequences of so-called “unbias” algorithms.
- BIG DATA, BIG MONEY – Where I look at how much money data brokers are making off of my privacy and the incentive they have to go even further.
- BIG DATA, BIG ESCAPE – Where I consider my options, after learning more about my lack of privacy on the internet.
Stay tuned, for a very special report…
About the host:
Over the past decade, Jim Stroud has built an expertise in sourcing and recruiting strategy, public speaking, lead generation, video production, podcasting, online research, competitive intelligence, online community management and training. He has consulted for such companies as Microsoft, Google, MCI, Siemens, Bernard Hodes Group and a host of startup companies. During his tenure with Randstad Sourceright, he alleviated the recruitment headaches of their clients worldwide as their Global Head of Sourcing and Recruiting Strategy. He now serves ClickIQ as its VP, Product Evangelist.
Links related to this podcast:
- Amazon’s Face Recognition Falsely Matched 28 Members of Congress With Mugshots | American Civil Liberties Union
- unprofessional hairstyles for work – Google Search
- jackyalciné (he/him/his) on Twitter: “Google Photos, y’all fucked up. My friend’s not a gorilla. http://t.co/SMkMCsNVX4”
- 5 Things We’ve Learned About How Companies Track You Online And Off – Consumerist
- Data Brokers: Companies Are Buying, Sharing Your Online Info. What You Can You Do About It? : All Tech Considered : NPR
- Are Ads Following You?
- Google – My Activity
- Princeton WebTAP – Web Transparency & Accountability Project @ Princeton
- Thousands Of Amazon Employees Listen To Alexa Voice Recordings | NBC Nightly News – YouTube
- Amazon Alexa is opening up to more sponsored product ads
- Creepy billboards are tracking British shoppers with built-in cameras that target ads based on your MOOD
- Welcome to digital detox camp, no phones allowed – CNET
- NAI Consumer Opt Out
- WebChoices: Digital Advertising Alliance’s Consumer Choice Tool for Web US
- 10 best free ad blockers to remove ads & popups for 2019 | Comparitech
- How can I adjust how ads are targeted to me based on my activity on or off of Facebook? | Facebook Help Center
- Block certain ads – Ads Help
- Amazon.com: Advertising Preferences
- DataWallet lets people sell their personal data to companies looking to buy it – Business Insider
- Companies Makes Millions Selling your Data, Why Not Sell it Yourself?- The Sociable
- Sell Your Personal Data for $8 a Month – MIT Technology Review
- Facial-Recognition Software Might Have a Racial Bias Problem – The Atlantic
- Algorithmic accountability | TechCrunch
- Study: Ads related to high-paying jobs favor men | Al Jazeera America
- AI accountability needs action now, say UK MPs | TechCrunch
- Machine Bias — ProPublica
- Inspecting Algorithms for Bias – MIT Technology Review
- AI Programs Are Learning to Exclude Some African-American Voices – MIT Technology Review
- FaceApp apologizes for building a racist AI | TechCrunch
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