A.I. Generated Deception & Manipulation
School of Media Studies
The New School
Spring 2025

Instructor: Prof. Peter Asaro asarop AT newschool.edu
NMDS: 5352 CRN: 15432
Time: Tuesdays, 4:00 - 5:50 pm
Location: In-Person

Course webpage is here: http://peterasaro.org/courses/2025Disinfo.html

Course blog is here: http://disinfo2025.wordpress.com/

Course Description

This course will examine the ways in which AI is transforming media production and communications, along with its current and potential role in strategic misinformation, deception and manipulation. The course will cover classic work and emerging research on deception and manipulation. We will spend the first part of the semester examining how AI is being used to generate media, including the creation and use of deepfakes, and the role of AI in targeted marketing and surveillance capitalism more generally. The second half of the semester will examine why mis- and disinformation are successful, in terms of both cognitive biases and the socio-technical media infrastructure, as well as the potential for applying AI to increasingly sophisticated psychological micro-targeting, and large-scale media manipulation. This will include an examination of the socio-psychological dimensions of deception, coercion and manipulation among humans, and its potential automation and amplification with AI. Throughout the semester we will return to questions of how these technologies impact or advance social justice, economic and political equality, and what it means to engage with them through ethical practice.


COURSE REQUIREMENTS & GRADING:

Class Attendance & Participation 30%
Blog Entries & Comments: 20%
Research Project Idea: 5%
Research Project Proposal/Draft: 10%
Final Project Presentation 15%
Final Research Project: 20%

Class Attendance and Participation: 30%

You are expected to have thoroughly and thoughtfully read the assigned texts, viewed the assigned videos, and to have prepared yourself to contribute meaningfully to the class discussions. For some people, that preparation requires taking copious notes on the assigned readings; for others, it entails supplementing the assigned readings with explanatory texts found in survey textbooks or in online sources; and for others still, it involves reading the texts, ruminating on them afterwards, then discussing those readings with classmates before the class meeting. Whatever method best suits you, I hope you will arrive at class with copies of the assigned reading, ready and willing to make yourself a valued contributor to the discussion, and eager to share your own relevant media experiences and interests. Your participation will be evaluated in terms of both quantity and quality.

As this is a seminar, regular attendance is essential. You will be permitted two excused absences (you must notify me of your inability to attend before class, via email). Any subsequent absences and any un-excused absences will adversely affect your grade.

Blog Entries & Comments: 20% (+ up to 5% extra credit)

You will be required to make weekly blog entries commenting on the readings for the week. You will be required to create an account on WordPress (if you do not already have one), and send me an email with your LoginID and the EMAIL ADDRESS used to create the account, so that you can be added as an author for the collective course blog. Everyone will be posting to a common blog page, and this will be readable by your classmates. When writing and making comments, you are expected to treat other students with the same respect and courtesy as you should in the classroom.

Discussion questions will be posted each week to help stimulate the writing process. You are also expected to read the posts of your classmates, and encouraged to comment on other people's posts each week. Posts will not be graded (they will receive 2 {on-time], 1 [late] or 0 [not completed] points), but I will read them and occasionally comment on them. There will be 10 posts required through the semester, thus 20 points, constituting 20% of your grade.

Comments are strongly encouraged, and you can receive up to 10 points (extra credit) for each substantial comment (paragraph or longer) that you make on someone else's post.

Blog posts will be due before the start of each class. They are time stamped when you post them, and late posts will only receive half credit (1 point). THere is no specific topic for each post, but they should express your reactions to and reflections on the readings for that week.


Research Project Idea: 5%

Research Project Idea Due: February 25
Length: 300-500 words (approx. 1 page)

Research Project Proposal/Draft: 10%

Research Project Proposal/Draft Due: April 8
Length: 500-2000 words (approx. 1-4 pages)

Final Project Presentation 15%

Final Project Presentations: May 6
Oral Presentation, 15 minutes (Powerpoint Optional) plus discussion

Final Research Project: 20%

Final Project Due: May 13
Length (media project description): 500-3000 words (approx. 1-10 pages) + Media Project
Length (research paper option): 3000-5000 words (approx. 10-18 pages)


There will be no final exam. Instead, a final research project will be required. There are 2 options: Research Paper Option, and Media Project Option.

Final Project will be due after the last day of class and presentations. If that deadline will not work for you, you need to make other arrangements one week in advance, at the latest. We will set aside time in the last day(s) of class for presentations of final projects. These will not be graded but will offer an opportunity for feedback before submitting your final project.

Project topics can address any aspect of the topics and materials discussed in class. Projects should include materials beyond what is directly covered in class, as appropriate for your topic. In other words, they should require research. The blog will provide many ideas for projects, as will class discussion. You will be asked to submit a short description of your Project Idea early in the semester, and will receive feedback on it.

Later in the semester you will have to write a more formal Proposal/Draft for your project, based on feedback and further research. Project proposals should state the research question, problem, or phenomenon that will be the focus of your research. It should also state your thesis or position on the issue, as well as outline the argument you will use to support your position.This applies to both papers and media projects. You should also indicate the sources and materials you will consult and utilize in making your argument and producing your final project. For the Media Project Option, you should state as clearly as possible what you intend to deliver for the final draft (i.e., video length, style, format, content; website; set of infographics, etc.).

Final Project Presentations will occur on the last days of class. These should be short 5-10 minutes summary of your research paper or project, allowing 5-10 minutes for discussion. Group projects can be presented collectively.

Research Paper Option
This will take the form of a 3000-5000 word (Times New Roman, 12pt font, double spaced) term paper. You should draw upon sources from the course readings as well as beyond the course readings. You should cite your sources properly.

Media Project Option
Media Projects can take the form of film and video pieces, audio documentaries, websites, interactive media, performance pieces, infographics, a social media campaign strategy, or other ideas. In addition to the actual media product, you will need to submit your Idea, Proposal, and a Final short written piece explaining your project, its motivations, methods and what you did to realize it.

Group Project Option
Those pursuing the Media Project Option have the further option of participating in a group research project. For the students pursuing this option, the process will be much the same, with the Idea being an individual statement of what you plan to contribute to the group project, and the Proposal and Final projects being collective efforts to realize the research project. In addition, each person choosing this option must submit a 1-page self-assessment of their participation in the group, due at the same time as the Final project.

Papers and written ideas and proposals should be submitted to me in electronic form by email (Word Perfect, MS Word, PDF, HTML and plain TXT are all fine).All assignments are due at 6pm at the start of class on the day they are due. Late final papers will not be accepted, as I must turn in grades shortly thereafter.

Generative AI Policy

You are expected to do your own writing for this class. While you may use generative AI creatively in you final project, you must carefully describe its use and your own original conrtibutions to your final project as part of your proposal and final paper. You may also use generative AI to correct and improve your grammar and use of language, but the ideas and arugments of your texts should be yours. Your weekly blog posts should be your own writing and ideas. Any and all use of generative AI should be disclosed in the assignment when you turn it in. Violation of this policy will be treated as plagarism.

Extra Credit & Make-ups

In addition to the extra points available for commenting on blog posts, there will be several events during the semester which will allow you to get extra credit points, or make-up for missed (excused) classes.

READINGS

All readings will be available electronically, via the web, in PDF, MS Word, HTML, or similar format. You are welcome and encouraged to buy any of the books used.

Week 1: January 21
Course Introduction

Student Introductions

How to create a WordPress Account, and make a Blog Entry

Watch Before Class: NOVA, A.I. Revolution, PBS, March 27, 2024, 54 min.

Read Before Class: Fergus McIntosh, "What's a Fact, Anyway?" The New Yorker, January 11, 2025.

Week 2: January 28
GUEST LECTURE: Valerie Veatch, Filmmaker
A.I. & Bias

Required:

Julia Angwin, Jeff Larson, Surya Mattu and Lauren Kirchner, "Machine Bias", ProPublica, May 23, 2016.

Leonardo Nicoletti and Dina Bass, "Humans Are Biased. Generative AI Is Even Worse", Bloomberg, June 9, 2023.

Ken Knapton, "Navigating The Biases In LLM Generative AI: A Guide To Responsible Implementation", Forbes, September 6, 2023.

Luhang Sun, Mian Wei, Yibing Sun, Yoo Ji Suh, Liwei Shen, Sijia Yang (2023) "Smiling Women Pitching Down: Auditing Representational and Presentational Gender Biases in Image Generative AI," Arxiv, May 17, 2023.

Watch: Shalini Kantayya, Coded Bias, 2023, 85 min.

Watch: Arvind Narayanan, "Tutorial: 21 fairness definitions and their politics," YouTube, March 1, 2018, 55 min.

Recommended:

Peter Asaro (2023) "Politicizing Data: AI Ethics as a Social Critique of Algorithms," Social Research, Vol. 90, No. 4 (Winter 2023), pp. 675-703.

Peter Asaro (2019) "AI Ethics in Predictive Policing: From Models of Threat to an Ethics of Care," Technology & Society Magazine, Vol. 38, No. 2 (June 2019), pp. 40-53.

Abeba Birhane, Vinay Uday Prabhu, Emmanuel Kahembwe (2021) "Multimodal datasets: misogyny, pornography, and malignant stereotypes", Arxiv, October 5, 2021.

Mi Zhou, Vibhanshu Abhishek, Timothy Derdenger, Jaymo Kim, Kannan Srinivasa (2024) "Bias in Generative AI," Arxiv, March 5, 2024.

Week 3: February 4
CLASS MEETS ONLINE You will receive a Google Calendar Invitation with the ZOOM link.
What is AI?

Required:

Watch: Mustafa Suleyman, "What Is an AI Anyway?", TED Talk, April 22, 2024, 22 min.

Watch: Mirella Lapata, What is generative AI and how does it work?, The Turing Lectures, October 12, 2023, 46 min.

Watch: Meredith Whittaker, "What is AI? Part 1" AI Now, July 19, 2023, 22 min.

Watch: Lucy Suchman, "What is AI? Part 2" AI Now, July 19, 2023, 33 min.

Watch: Jon Stewart, Jon Stewart On The False Promises of AI, Daily Show, April 1, 2024, 15 min.

Recommended:

Watch: Sasha Luccioni, AI Is Dangerous, but Not for the Reasons You Think, TED Talk, November 6, 2023, 10 min.

Watch: Lilly Irani, "The Labor that Makes AI "Magic"," AI Now, July 7, 2016, 7 min.

Week 4: February 11
Generative AI, Dark Info & Hallucinations

Required:

Graham Fraser (2024) "Apple urged to axe AI feature after false headline," BBC, December 19, 2024.

Watch: IBM Technology, Why Large Language Models Hallucinate , YouTube, April 20, 2023, 10 min.

Shomit Ghose, "Why Hallucinations Matter: Misinformation, Brand Safety and Cybersecurity in the Age of Generative AI," UC Berkeley Sutardja Centter for Entrepreneurship & Technology, May 2, 2024

Nicola Jones, "AI hallucinations can’t be stopped — but these techniques can limit their damage," Nature, January 21, 2025

Howard Taylor, "An Invisible Threat: How AI Hallucinations Threaten The Software Supply Chain," Forbes, February 3, 2025

Rebecca Sohna (2022) "AI Drug Discovery Systems Might Be Repurposed to Make Chemical Weapons, Researchers Warn," Scientific American, April 21, 2022.

Jonathan L. Zittrain (2024) "The Words That Stop ChatGPT in Its Tracks," The Atlantic, December 17, 2024.

Watch: KARE 11, Testing the limits of ChatGPT and discovering a dark side, YouTube, February 15, 2023, 11 min.

Ben Fritz, "Why Do AI Chatbots Have Such a Hard Time Admitting ‘I Don’t Know’?," Wall Street Journal, February 11, 2025

Recommended:

Sam Schechner, "DeepSeek Offers Bioweapon, Self-Harm Information: Testing shows the Chinese app is more likely than other AIs to give instructions to do dangerous things," Wall Street Journal, February 10, 2025

"Reinforcement Learning From Human Feedback," Wikipedia.

Watch: IBM Technology, "Reinforcement Learning from Human Feedback (RLHF) Explained," YouTube, August 7, 2024, 11 min.

Watch: IBM Technology, "Tuning Your AI Model to Reduce Hallucinations," YouTube, February 7, 2024, 9 min.

Rebecca Sohna (2022) "Bias baked in: How Big Tech sets its own AI standards," Corporate Europe Observatory, January 1, 2025.

Oscar Oviedo-Trespalacios, Amy E Peden, Thomas Cole-Hunter, Arianna Costantini, Milad Haghani, J.E. Rod, Sage Kelly, Helma Torkamaan, Amina Tariq, James David Albert Newton, Timothy Gallagher, Steffen Steinert, Ashleigh J. Filtness, Genserik Reniers (2023). "The risks of using ChatGPT to obtain common safety-related information and advice," Safety Science, Volume 167, November 2023.

Free Online Course: Center for an Informed Public, "Modern-Day Oracles or Bullshit Machines? AI course," University of Washington, February 5, 2025, 18 Lessons.
Direct Link to Course

Week 5: February 18
CLASS WILL NOT MEET DUE TO TIMEZONES
You should attend one or both of these upcoming online lectures on AI governance and GenAI Harm on the 18th and 20th, and post your reactions to the blog. If you are unable to attend either in real-time, recordings should become available after a few days if you are registered, and you should watch and respond then.

Tuesday, February 18, 8:30am - 9:45am ET.
Unpacking the AI Action Summit: The Future of AI Governance and the Global Digital Compact
The Stimson Center
(Online, free registration required)

Thursday, February 20, 1pm - 2pm ET.
Red-Teaming Generative AI Harm
Data & Society
(Online, free registration required)

Week 6: February 25
Project Ideas Due
A.I. and Deception: Deepfakes & Fraud

Required:

Charles Bethea (2024). "The Terrifying A.I. Scam That Uses Your Loved One's Voice," New Yorker, March 7, 2024.

Frank Landymore (2025). "Rent Too High? Blame AI, New Report Finds," The Byte, January 8, 2025.

Tais Fernanda Blauth, Oskar Josef Gstrein, and Andrj Zwitter (2022) "Artificial Intelligence Crime: An Overview of Malicious Use and Abuse of AI," IEEE Access, Volume 10, 2023, pp. 77110-77122.

Judd Legum (2025) "AI costs American renters over $3.6 billion annually, according to new report," Popular Information, January 6, 2025.

Watch: Diep Nep, "This is not Morgan Freeman - A Deepfake Singularity," YouTube, July 20, 2021, 1 min.

"Detect DeepFakes: How to counteract misinformation created by AI," MIT Media Lab, January, 2025.

Daniel Immerwahr (2023). "What the Doomsayers Get Wrong About Deepfakes," New Yorker, November 13, 2023.

Recommended:

Watch: Mhairi Aitken, "What are the risks of generative AI?" The Turing Lectures, November 9, 2023, 48 min.

Dan Milmo, "Russia targets Paris Olympics with deepfake Tom Cruise video," The Guardian, June 3, 2024.

Week 7: March 4
CLASS MEETS ONLINE You will receive a Google Calendar Invitation with the ZOOM link.
Influence & Persuasion Part I

Required:

John Lanchester, "You Are the Product," London Review of Books, August 17, 2017.

Watch: Tristan Harris, "How a handful of tech companies control billions of minds every day," TED, July 28, 2017, 17 min.

Shoshana Zuboff, "The Big Other: Surveillance Capitalism and the Prospects of an Information Civilization," Journal of Information Technology, 30(1), 2015, pp. 75-89.

Watch: Jeff Orlowski, The Social Dilemma NetFlix, 2020, 94 min.

Recommended:

Watch: VPRO Documentary, "Shoshana Zuboff on surveillance capitalism," YouTube, December 20, 2019, 50 min.

Shoshana Zuboff, The Age of Surveillance Capitalism: The The Fight for a Human Future at the New Frontier of Power, Public Affairs, 2018.

Week of Tuesday, March 11
SPRING BREAK: NO CLASS

Week 8: March 18
Influence & Persuasion II

Required:

Sandra Matz, Mindmasters: The Data-Driven Science of Predicting and Changing Human Behavior, Harvard Busienss Review Press, 2025, Chapters 1-7, pp. 1-151.

Watch: DW Documentary, "Neuromarketing: How brands are getting your brain to buy more stuff," YouTube, June 18, 202, 12 min.

Recommended:

Edward Bernays, Propaganda, Horace Liveright Inc., 1928, pp. 1-61 and 135-153.

Watch: Terry Wu, TED Talk, "Neuromarketing: The new science of consumer decisions," YouTube, June 6, 2019, 17 min.

Watch: Patrick Renvoise, Ted Talk, "Is There a Buy Button Inside the Brain," YouTube, May 20, 2013, 18 min.

Week 10: April 1
What is Manipulation & Coercion?

Required:

Susser, Daniel, Beate Roessler, and Helen Nissenbaum (2019) "Technology, autonomy, and manipulation," Internet Policy Review, Vol. 8, No. 2, pp. 1-11.

Scott Anderson (2023) "Coercion," Stanford Encyclopedia of Philosophy, Edward N. Zalta & Uri Nodelman (eds.), (Spring 2023 Edition).

Isobel Butorac and Adrian Carter (2021) "The Coercive Potential of Digital Mental Health," The American Journal of Bioethics, 21:7, 2023, pp. 28-30.

Recommended:

Week 9: March 25
What is Deception and Disinformation?

Required:

Watch: Jeff Hancock, "The Future of Lying," Ted Talk, September 2012, 18 minutes.

Alice Marwick, and Rebecca Lewis, "Media Manipulaiton and Disinformation Onine," Data & Society, 2017.

George M. Eberhart, "Media Literacy in an Age of Fake News," American Libraries Magazine, November 1, 2019.

Watch: Rachel E. Moran, and Madeline Jalbert, "Info Lit 101 Part 3: Misinformation and Disinformation," Metropolitan New York Library Council, June 22, 2022, 41 minutes.

Nathan Ballantyne and David Dunning, "Skeptics Say, 'Do Your Own Research.' It's Not That Simple," New York Times, Jan. 3, 2022.

Recommended:

Alice Marwick, and Rebecca Lewis, "Media Manipulaiton and Disinformation Onine: Case Studies," Data & Society, 2017.

Watch: Eli Parser, "Beware Online 'Filter Bubbles'," Ted Talk, March 2011, 9 minutes.

Will Oremus, "The Filter Bubble Revisted," Slate, April 5, 2017.

https://en.wikipedia.org/wiki/Filter_bubble

Week 11: April 8
Project Proposals/Drafts Due
Democracy & Election Manipulation

Required:

Hunt Allcott and Matthew Gentzkow, "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, 31(2), Spring 2017, pp. 211-236.

Jane Mayer (2018) "How Russia Helped Swing the Election for Trump," New Yorker, September 24, 2018.

Pauwels, Eleonore and Sarah W. Deton (2020) "Hybrid Emerging Threats and Information Warfare: The Story of the Cyber-AI Deception Machine," from 21st Century Prometheus, M. Martinelli and R. Trapp (eds.), Springer, 2023, pp 107-124.

Zuboff, Shoshana (2021). "The coup we are not talking about," New York Times, January 29 2021.

Kamya Yadav, Samantha Lai (2024). "What Does Information Integrity Mean for Democracies?" Lawfare, Friday, March 22, 2024.

Nathan Sanders and Bruce Schneier (2021) "Machine Learning Featurizations for AI Hacking of Political Systems," arXiv, 11 pgs.

Cade Metz and Tiffany Hsu (2024). "An A.I. Researcher Takes On Election Deepfakes," New York Times, April 2, 2024.

Watch: The National, "Can you spot the deepfake? How AI is threatening elections," CBC News, Jan 17, 2024, 7 min.

Watch: Karim Amer and Jehane Noujaim, "The Great Hack," Netflix, 2019, 114 minutes.

Recommended:

Watch: PBS Frontline, "United States of Conspiracy," July 28, 2020, 54 min.

Week 12: April 15
AI & Strategic Deception

Required:

Heather Roff (2020) "AI Deception: When Your Artificial Intelligence Learns to Lie," IEEE Spectrum, February 24, 2020.

Peter S. Park, Simon Goldstein, Aidan O'Gara, Michael Chen, Dan Hendrycks (2023) "AI Deception: A Survey of Examples, Risks, and Potential Solutions," arXiv.org, 26 pages.

Recommended:

Week 13: April 22
Data Privacy

Required:

Carissa Veliz, Privacy is Power: Why and How You Should Take Back Control of Your Data, Melville House, 2021, Intro, Chapters 3, 4, 5 & 6.

Sandra Matz, Mindmasters: The Data-Driven Science of Predicting and Changing Human Behavior, Harvard Busienss Review Press, 2025, Chapters 8-10, pp. 155-195.

Maurice E. Stucke and Jathan Sadowski, "I'm a Luddite. You Should Be One Too," The Conversation, August 9, 2021.

Recommended:

Watch: "Trebor Scholz: Stuck in the gig economy? Try platform co-ops instead," TED Talk, January 13, 2022, 13 min.

Week 14: April 29
AI Governance & Regulation

Required:

Lewin Schmidt (2021) "Mapping global AI governance: a nascent regime in a fragmented landscape," AI and Ethics, August 17, 2021, Volume 2, pp. 303–314.

Ryan Nabil (2024) "Global AI Governance and the United Nations," Yale Journal of International Affairs, February 2, 2024.

Markus Anderljung, Anton Korinek (2024) "Frontier AI Regulation: Safeguards Amid Rapid Progress," Lawfare, Thursday, January 4, 2024.

Watch: Deutsche Welle, EU lawmakers approve world's first legal framework on Artificial Intelligence, DW Documentary, March 13, 2024, 8 min.

Watch: Jon Stewart, Lina Khan – FTC Chair on Amazon Antitrust Lawsuit & AI Oversight, Daily Show, April 1, 2024, 21 min.

Recommended:

"Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence," The White House, October 30, 2023.

Week 15: May 6
Presentation of Final Projects

May 13
Final Projects Due by Midnight ET, Tuesday, May 13.