The Dangers and Consequences of Black Box Algorithms
Algorithm! What is it? You hear this word everyday and everywhere you go. Algorithms affect all aspects of our daily lives from using your phone alarm clock to listening to music and scrolling social media. So, if algorithms are running this world we live in today, what exactly is an algorithm and most importantly for data scientists, what is a BLACK BOX ALGORITHM?
Episode 5 of the Data Science Academy podcast, hosted by EvidenceN, titled "The Dangers and Consequences of Black Box Algorithms" was published on October 13, 2019 and runs 21 minutes.
October 13, 2019 ·21m · Data Science Academy
Summary
Algorithm! What is it? You hear this word everyday and everywhere you go. Algorithms affect all aspects of our daily lives from using your phone alarm clock to listening to music and scrolling social media. So, if algorithms are running this world we live in today, what exactly is an algorithm and most importantly for data scientists, what is a BLACK BOX ALGORITHM?
Episode Description
Algorithm! What is it? You hear this word everyday and everywhere you go. It is what YouTubers blame for their lack of success on YouTube. It is what social media influencers blame for their decreased audience reach on Facebook, Twitter, Instagram, and other social media platforms. It is what marketers blame for their lack of success with google SEO while simultaneously thanking algorithms for marketers targeted success with digital advertising. It is what the Russians used to elect Donald Trump as U.S. President in 2016 by using Facebook User and Advertisement platform. It is what allowed a system called AlphaZero by DeepMind to use algorithms to teach itself chess, shogi, and go games without human beings teaching it anything at all. This AlphaZero system then went on to defeat the world champions in go, shogi, and chess game.
Havard Journal of Law and Technology Research Paper: https://jolt.law.harvard.edu/assets/articlePDFs/v31/The-Artificial-Intelligence-Black-Box-and-the-Failure-of-Intent-and-Causation-Yavar-Bathaee.pdf
Propublica Research Paper: https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
Visit my website: https://evidencen.com/
Read the show notes: https://evidencen.com/the-dangers-and-consequences-of-black-box-algorithms/
My YouTube channel: https://www.youtube.com/evidencen
My Data science Podcast: https://datascienceacademypodcast.com/
Join our Exclusive Data Science Community: https://datascienceacademy.mn.co/
My Github Page: https://github.com/EvidenceN
Contact me: https://evidencen.com/contact-me/
Give me your content suggestion ideas: https://evidencen.com/suggestions/
Follow me on twitter: https://twitter.com/evidencenmedia
My linkedin page: https://www.linkedin.com/in/evidencen/
Follow me on instagram: https://www.instagram.com/evidencenmedia/
Similar Episodes
Apr 10, 2026 ·44m
Apr 3, 2026 ·9m