Links
Intropy is a blog dedicated to the belief that a better understanding of information is needed to understand anything and everything.
The Surveillance Studies Network (SSN) is a registered charitable company dedicated to the study of surveillance in all its forms, and the free distribution of scholarly information.
95 Theses about Technology is a collection of triggers for conversations about our networked world.
Critical Algorithm Studies: A Reading List maintained by members of the Social Media Collective at Microsoft Research
Digital Divide / Digital Inclusion: A Reading List maintained by members of the Social Media Collective at Microsoft Research
Metaphors of Data: a Reading List maintained by members of the Social Media Collective at Microsoft Research
The Data Justice Lab seeks to advance a research agenda that examines the intricate relationship between datafication and social justice, highlighting the politics and impacts of data-driven processes and big data.
Auditing Algorithms - Adding Accountability to Automated Authority which features a recording of a round-table discussion "The Bad News About Online Discrimination in Algorithmic Systems".
Solon Barocas, whose research explores ethical and policy issues in artificial intelligence, particularly fairness in machine learning, methods for bringing accountability to automated decision-making, and the privacy implications of inference.
Communication and Critical/Cultural Studies situates culture as a site of struggle and communication as an enactment and discipline of power.
Information, Communication and Society explores a diverse range of issues relating to the development and application of information and communications technologies (ICTs).
Internet Governance Project (IGP) at the Georgia Tech School of Public Policy is the leading source of independent analysis of global Internet governance.
Jaron Lanier on how we can repair the mistakes of the digital era relating to the attention economy.
Don't Trust The Promise Of Artificial Intelligence, a debate between Transhumanists James Hughes and Martine Rothblatt and critics of technological determinism, Andrew Keen and Jaron Lanier.
Can an algorithm be racist? Luke Dormehl on spotting systemic oppression in the age of Google.
Artificial Intelligence’s White Guy Problem by Kate Crawford. Talk by her on algorithmic bias here.
Artificial Intelligence and the Internet of Things: UK Policy Opportunities and Challenges by Mercedes Bunz, Laima Janciute (part of the CAMRI Policy Briefs series).
Data Justice has been launched as a project to promote public education and new alliances to challenge the danger of big data to workers, consumers and the public.
Langdon Winner, a political theorist who focuses upon social and political issues that surround modern technological change. Important works include Autonomous Technology (1977) and the essay "Do Artifacts Have Politics?" (1980).
The Costs of Connection: How Data is Colonizing Human Life and Appropriating it for Capitalism, a forhcoming work authored by Nick Couldry and Ulises A. Mejías.
The Truth about Algorithms, an Aeon video arguing that algorithms are opinions, not truth machines, and demand the application of ethics.
Fairness in Machine Learning, online textbook by Solon Barocas, Moritz Hardt and Arvind Narayanan.
Two useful 'primer' pieces clarifying (1) The Difference Between Artificial Intelligence, Machine Learning, and Deep Learning, and (2) How Big Data is Unfair.
The Algorithmic Justice League is a collective that aims to (a) highlight algorithmic bias (through media, art and science), (b) provide space (for people to voice concerns and experiences with coded bias), and (c) develop practices (for accountability during the design, development, and deployment of coded systems).
21 Fairness Definitions and Their Politics, a tutorial delivered by Arvind Narayanan at the Conference on Fairness, Accountability, and Transparency on Feb 23 2018.
Social Media: a Critical Introduction by Marxist media theorist, Christian Fuchs.
The AI Now Institute at New York University is an interdisciplinary research center dedicated to understanding the social implications of artificial intelligence.
Special issue of b20 on 'the digital turn' asking "Is there, was there, will there be, a digital turn?"
KIM, a research group on critical machine intelligence based at the University of Arts and Design, Karlsruhe.
A Manifesto on Algorithmic Humanitarianism authored by Dan McQuillan.
A People’s Guide to AI is a comprehensive beginner's guide to understanding AI and other data-driven tech.