You and AI: The AI Survival Guide

• Amazon’s Surveillance System Is a Global Risk to People of Color, Hiba Ali for ZORA Magazine, 2019
  
  
• Housing Labor, Andreas Rumpfhuber, Artificial Labor, e-flux Architecture and MAK Wien, 2017
  Rethinking housing within an increasingly automated and technological environment.
  Recommended by: Irini Papadimitriou
  
  
• Making Kin with the Machines, Jason Edward Lewis, Noelani Arista, Archer Pechawis, and Suzanne Kite
  Recommended by: Irini Papadimitriou
  
  
• Sim Factory, Simone C. Niquille, Artificial Labor, e-flux Architecture and MAK Wien, 2017
  Exploring automation in the workplace.
  Recommended by: Irini Papadimitriou
  
  
• Three Thousand Years of Algorithmic Rituals: The Emergence of AI from the Computation of Space, Matteo Pasquinelli, e-flux Journal 101, June 2019
  Recommended by: Irini Papadimitriou

• Towards abolishing carceral technologies: Why face recognition needs to be banned, Hiba Ali for KIM blog, Karlsruhe University of Arts and Design, 2020

• We Need to Talk AI, Dr. Julia Schneider and Lena Ziyal
  A comic essay on artificial intelligence.
  Recommended by: Irini Papadimitriou

• Agency, William Gibson, Berkley Books, 2020
  Science fiction novel exploring alternative histories and human-AI intelligence.
  Recommended by: Kyriaki Goni
  
  
• Klara and the Sun, Kazuo Ishiguro, Faber & Faber, 2021
  A novel exploring “the uncharted implications of AI to human relationships and the abiding question of what it means to love.“
  Recommended by: Kyriaki Goni

• AI Ethics, Mark Coeckelbergh
  “An accessible synthesis of ethical issues raised by artificial intelligence that moves beyond hype and nightmare scenarios to address concrete questions.”
  Recommended by: Alexandra Daisy Ginsberg
  
  
• Algorithms of Oppression, Safiya Umoja Noble, New York University Press, 2018
  How Search Engines reinforce racism.
  Recommended by: Irini Papadimitriou
  
  
• Atlas of AI, Kate Crawford
  Power, Politics, and the Planetary Costs of Artificial Intelligence
  Recommended by: Alexandra Daisy Ginsberg
  
  
• Atlas of Anomalous AI, Ben Vickers & K Allado-McDowell (eds.), Ignota Books 2020
  “The Atlas of Anomalous AI is a compelling and surprising map of our complex relationship to intelligence, from ancient to emerging systems of knowledge.”
  Recommended by: Jenna Sutela, Nye Thompson, Kyriaki Goni
  
  
• Artificially Intelligent
  A collection of essays about AI, published as part of the V&A Design Weekend 2018
  Rogers, J., Papadimitriou, I., & Prescott, A. (Eds.)
  Recommended by: Kyriaki Goni
  
  
• Data Feminism – open access version, Catherine D’Ignazio and Lauren F. Klein
  “A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism.”
  Recommended by: Irini Papadimitriou
  
  
• Deep Learning, John D. Kelleher
  “An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars.”
  Recommended by: Alexandra Daisy Ginsberg

• Facial Recognition Technologies: A Primer, Joy Buolamwini, Vicente Ordóñez, Jamie Morgenstern and Erik Learned-Miller, May 29, 2020
  What are facial recognition technologies, how are they used and just how accurate are they?
  Recommended by: Irini Papadimitriou
  
  
• LIFE 3.0 Being Human in the age of Artificial Intelligence, Max Tegmark
  “Taking us to the heart of the latest thinking about AI, Max Tegmark separates myths from reality, utopias from dystopias, to explore the next phase of our existence.”
  Recommended by: Kyriaki Goni
  
  
• Surrogate Humanity: Race, Robots, and the Politics of Technological Futures, Kalindi Vora and Neda Atanasoski, Duke University Press, 2019
  “Tracing the ways in which robots, artificial intelligence, and other technologies serve as surrogates for human workers within a labor system entrenched in racial capitalism and patriarchy.”
  Recommended by: Irini Papadimitriou
  
  
• To Be A Machine (Adventures Among Cyborgs, Utopian, Hackers, and the Futurists Solving the Modest Problem of Death), Mark O'Connell
  A fascinating exploration of transhumanism, while delivering insights into some of the less explicit emotional and quasi-religious drivers behind AI development.
  Recommended by: Nye Thompson

• #BanFacialRecognitionEU, Paolo Cirio
  A campaign to ban facial recognition in the EU.
  Recommended by: Irini Papadimitriou
  
  
• Ban on government use of face surveillance: A model bill, Electronic Frontier Foundation
  Recommended by: Irini Papadimitriou
  
  
• Campaign to Stop Killer Robots
  An organisation working to ban autonomous weapons.
  Recommended by: Nye Thompson
  
  
• Carceral Tech Resistance
  “A space of convening for those organizing against the design, experimentation, and deployment of carceral technologies.”
  Recommended by: Hiba Ali
  
  
• Data for Black Lives
  “A movement of activists, organizers, and mathematicians committed to the mission of using data science to create concrete and measurable change in the lives of Black people.”
  Recommended by: Hiba Ali

• Coded Bias, Shalini Kantayya, 2020
  Feature documentary exploring how AI systems increasingly govern our freedom and the potential consequences for “people stuck in the crosshairs due to their race, color, and gender”.
  Recommended by: Stephanie Dinkins
  
  
• Host a Coded Bias watch party for your community
  “What Coded Bias highlights best is that this battle to protect our rights as digital users in the 21st century cannot be won alone.”
  Recommended by: Irini Papadimitriou

• Anatomy of an AI System, Kate Crawford and Vladan Joler, AI Now Institute and Share Lab, 2018
  The Amazon Echo as an anatomical map of human labor, data and planetary resources
  Recommended by: Kyriaki Goni, Helena Nikonole, Irini Papadimitriou
  
  
• Binary Calculations Are Inadequate
  Teaser website for a WIP project by Stephanie Dinkins
  
  
• Excavating AI: The Politics of Training Sets for Machine Learning, Kate Crawford and Trevor Paglen, September 19, 2019
  A two-year study into the underlying logic of how images are used to train AI systems to “see” the world.
  Recommended by: Helena Nikonole, Irini Papadimitriou
  
  
• The Nooscope Manifested, Vladan Joler and Matteo Pasquinelli, 2020
  “A diagram of machine learning errors, biases and limitations.”
  Recommended by: Helena Nikonole, Irini Papadimitriou

• Digital Weberianism: Bureaucracy, Information, and the Techno-Rationality of Neoliberal Capitalism, Chris Muellerleile & Susan Robertson, Indiana Journal of Global Legal Studies, 2017
  Exploring the symbiotic relationship between modernity, capitalism and social order and its entanglement with digital code, big data, and algorithms.
  Recommended by: Irini Papadimitriou
  
  
• On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?, Emily M. Bender, Angelina McMillan-Major, Timnit Gebru, Shmargaret Shmitchell
  Research paper exploring the potential risks associated with ever larger language models in AI, and how to mitigate those risks.
  Recommended by: Kyriaki Goni
  
  
• The Afrofeminist Data Futures report, Neema Iyer, Chenai Chair and Garnett Achieng
  Exploring how feminist movements in sub-Saharan Africa can be empowered through the production, sharing and use of gender data.
  Recommended by: Catherine D’Ignazio and Lauren F. Klein
  
  
• Virtual Grounds
  “A 2-part training and research initiative that considers how we navigate the future, protect our virtual selves, and shape digital landscapes.”
  Recommended by: Hiba Ali

• A People's Guide to Artificial Intelligence, Mimi Onuoha and Mother Cyborg (a.k.a. Daina Nucera)
  An accessible, informative booklet to help communities better understand AI and to identify what their ideal futures with AI can look like.
  Recommended by: Stephanie Dinkins, Irini Papadimitriou
  
  
• Feminist Data Set toolkit, Caroline Sinders
  Imagining data creation, as well as data sets and archiving, as an act of protest.
  Recommended by: Irini Papadimitriou
  
  
• Technically Responsible Knowledge (TRK), Caroline Sinders in collaboration with Rainbow Unicorn (graphic design and branding), Cade Diehm (creative direction) and Ian Ardouin Fumat (developer)
  TRK is a tool and advocacy initiative spotlighting unjust labor in the machine learning pipeline. TRK includes an open source data labeling and training tool and a wage calculator.
  Recommended by: Irini Papadimitriou
  
  
• The Fairness Toolkit, UnBias
  Building awareness and civic dialogue around how algorithms shape online experiences, and how we can address issues of unfairness.
  Recommended by: Irini Papadimitriou

• AI Suffering, lecture and presentation slides by Dr. Matthew Crosby
  Exploring moral responsibility when it comes to AI and its capacity for suffering.
  Recommended by: Nye Thompson
  
  
• Ad Nauseam
  “A free browser extension designed to obfuscate browsing data and protect users from tracking by advertising networks.”
  Recommended by: Mushon Zer-Aviv
  
  
• Do we need AI or do we need Black feminisms? A Poetic Guide, Serena Dokuaa Oduro, Meatspace Press 2021.
  Recommended by: Catherine D’Ignazio and Lauren F. Klein
  
  
• Proposal for a Regulation laying down harmonised rules on artificial intelligence (Artificial Intelligence Act), 21 April 2021
  Proposal for the first ever legal framework on AI.
  Recommended by: Kyriaki Goni

As part of You & AI: Through the Algorithmic Lens programme, MozFest has curated a toolkit of both Mozilla and MozFest community resources for the festival’s AI Survival Guide.

The Mozilla Toolkit equips participants with a holistic understanding of AI and its harms in everyday life. Included in the toolkit are resources to cultivate personal and collective agency and power to hold tech companies accountable, and to combat algorithmic surveillance. These tools utilize transparency as a guiding principle to equip participants with ways to mitigate harm and bias rooted in AI systems..

The collection, which consists of in-depth reports, videos, games, creative experiences and campaigns, aims to inform and broaden understanding of the AI systems that we are increasingly reliant on.

● YouTube Regrets Reporter

● YouTube Regrets

● Mozilla Explains

• Resisting surveillance in public spaces through creative experiences
• Collaborative/Poetic Atlas of Algorithmic (In)equality Discussions and Doc
• Video! Facts and Figures from Mozilla's Internet Health Report
• Anti-surveillance for the remote worker

● Internet Health Report 2020

● Data For Empowerment Report

● Trustworthy AI Whitepaper

● When Content Moderation Hurts

● MozFest Book