Eli Pariser, co-founder of Upworthy.com, explains how algorithms limit content in social media feeds and internet search results.
Pariser, Eli. "Beware Online 'Filter Bubbles.'" TED, filmed March 2011, http://www.ted.com/talks/eli_pariser_beware_online_filter_bubbles.
Algorithms of Oppression : How Search Engines Reinforce Racism by 
Technically Wrong : Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech by 
The Filter Bubble : What the Internet is Hiding from You by 
Weapons of Math Destruction : How Big Data Increases Inequality and Threatens Democracy by Wardle, Claire. "Deepfakes: Is This Video Even Real?" YouTube, uploaded by New York Times, 14 August 2019, https://www.youtube.com/watch?v=1OqFY_2JE1c.
Deepfake programs use artificial intelligence to create videos, images, or audio that appear authentic, but are not real. As deepfake technology improves, it becomes increasingly difficult to identify fake content.
To learn about deepfakes, get started with MIT's "In Event of Moon Disaster".
Learn more with LinkedIn Learning's "Understanding the Impact of Deepfake Videos". (Log in using your Fordham email address or your LinkedIn profile.)
Check with your professor about their course policy before using generative AI.
Generative AI uses language prediction models to produce text, images, and more. It is also "trained" by humans with example conversations. It is limited to knowledge pulled from its training data and can sometimes produce responses that sound correct but are false or nonsensical.
Using AI-generated ideas, text, images, or other output without properly citing it is considered plagiarism. For information on how to use sources in your writing, see the Writing Center’s guide Safeguarding Against Plagiarism.
How do I cite Generative AI?
Refer to your citation style guide's website for the most up-to-date information on citing generative AI services like ChatGPT, Copilot, or Gemini:
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