Class discrimination, also known as classism, is prejudice or discrimination on the basis of social class. It includes individual attitudes, behaviors, systems of policies and practices that are set up to benefit the upper class at the expense of the lower class.
Triple oppression, also called double jeopardy, Jane Crow, or triple exploitation, is a theory developed by black socialists in the United States, such as Claudia Jones. The theory states that a connection exists between various types of oppression, specifically classism, racism, and sexism. It hypothesizes that all three types of oppression need to be overcome at once.
Robert Epstein is an American psychologist, professor, author, and journalist. He was awarded a Ph.D. in psychology by Harvard University in 1981, was editor-in-chief of Psychology Today, and has held positions at several universities including Boston University, University of California, San Diego, and Harvard University. He is also the founder and director emeritus of the Cambridge Center for Behavioral Studies in Concord, MA. In 2012, he founded the American Institute for Behavioral Research and Technology (AIBRT), a nonprofit organization that conducts research to promote the well-being and functioning of people worldwide.
Kimberlé Williams Crenshaw is an American civil rights advocate and a scholar of critical race theory. She is a professor at the UCLA School of Law and Columbia Law School, where she specializes in race and gender issues.
Racism on the Internet sometimes also referred to as cyber-racism and more broadly considered as an online hate crime or an internet hate crime consists of racist rhetoric or bullying that is distributed through computer-mediated means and includes some or all of the following characteristics: ideas of racial uniqueness, racist attitudes towards specific social categories, racist stereotypes, hate-speech, nationalism and common destiny, racial supremacy, superiority and separation, conceptions of racial otherness, and anti-establishment world-view. Racism online can have the same effects as offensive remarks made face-to-face.
A filter bubble or ideological frame is a state of intellectual isolation that can result from personalized searches, recommendation systems, and algorithmic curation. The search results are based on information about the user, such as their location, past click-behavior, and search history. Consequently, users become separated from information that disagrees with their viewpoints, effectively isolating them in their own cultural or ideological bubbles, resulting in a limited and customized view of the world. The choices made by these algorithms are only sometimes transparent. Prime examples include Google Personalized Search results and Facebook's personalized news-stream.
This is a timeline of women in computing. It covers the time when women worked as "human computers" and then as programmers of physical computers. Eventually, women programmers went on to write software, develop Internet technologies and other types of programming. Women have also been involved in computer science, various related types of engineering and computer hardware.
Ruha Benjamin is a sociologist and a professor in the Department of African American Studies at Princeton University. The primary focus of her work is the relationship between innovation and equity, particularly the intersection of race, justice, and technology. Benjamin is the author of numerous publications, including the books People's Science: Bodies and Rights on the Stem Cell Frontier (2013), Race After Technology: Abolitionist Tools for the New Jim Code (2019), and Viral Justice: How We Grow the World We Want (2022).
Algorithmic bias describes systematic and repeatable errors in a computer system that create "unfair" outcomes, such as "privileging" one category over another in ways different from the intended function of the algorithm.
Algorithms of Oppression: How Search Engines Reinforce Racism is a 2018 book by Safiya Umoja Noble in the fields of information science, machine learning, and human-computer interaction.
Meredith Broussard is a data journalism professor at the Arthur L. Carter Journalism Institute at New York University. Her research focuses on the role of artificial intelligence in journalism.
Joy Adowaa Buolamwini is a Canadian-American computer scientist and digital activist formerly based at the MIT Media Lab. She founded the Algorithmic Justice League (AJL), an organization that works to challenge bias in decision-making software, using art, advocacy, and research to highlight the social implications and harms of artificial intelligence (AI).
Julia Angwin is an American investigative journalist, author, and entrepreneur. She co-founded and was editor-in-chief of The Markup, a nonprofit newsroom that investigates the impact of technology on society. She was a staff reporter at the New York bureau of The Wall Street Journal from 2000 to 2013, during which time she was on a team that won the Pulitzer Prize in journalism. She worked as a senior reporter at ProPublica from 2014 to April 2018, during which time she was a finalist for the Pulitzer Prize.
Mary Chayko is an American sociologist and Distinguished Teaching Professor of Communication and Information at Rutgers University. She is the director of Undergraduate Interdisciplinary Studies at Rutgers University's School of Communication and Information and she was a six-year Faculty Fellow in Residence at the Rutgers-New Brunswick Honors College (2017-2023). She is an affiliated faculty member of the Sociology Department and Women's, Gender, and Sexuality Studies Department at Rutgers.
Sarah T. Roberts is a professor, author, and scholar who specializes in content moderation of social media. She is an expert in the areas of internet culture, social media, digital labor, and the intersections of media and technology. She coined the term "commercial content moderation" (CCM) to describe the job paid content moderators do to regulate legal guidelines and standards. Roberts wrote the book Behind the Screen: Content Moderation in the Shadows of Social Media.
Coded Bias is an American documentary film directed by Shalini Kantayya that premiered at the 2020 Sundance Film Festival. The film includes contributions from researchers Joy Buolamwini, Deborah Raji, Meredith Broussard, Cathy O’Neil, Zeynep Tufekci, Safiya Noble, Timnit Gebru, Virginia Eubanks, and Silkie Carlo, and others.
The Algorithmic Justice League (AJL) is a digital advocacy non-profit organization based in Cambridge, Massachusetts. Founded in 2016 by computer scientist Joy Buolamwini, the AJL uses research, artwork, and policy advocacy to increase societal awareness regarding the use of artificial intelligence (AI) in society and the harms and biases that AI can pose to society. The AJL has engaged in a variety of open online seminars, media appearances, and tech advocacy initiatives to communicate information about bias in AI systems and promote industry and government action to mitigate against the creation and deployment of biased AI systems. In 2021, Fast Company named AJL as one of the 10 most innovative AI companies in the world.
Virginia Eubanks is an American political scientist, professor, and author studying technology and social justice. She is an associate professor in the Department of Political Science at the University at Albany, SUNY. Previously Eubanks was a Fellow at New America researching digital privacy, economic inequality, and data-based discrimination.
Kishonna L. Gray is an American communication and gender studies researcher based at the University of Michigan School of Information. Gray is best known for her research on technology, gaming, race, and gender. As an expert in Women's and Communication Studies, she has written several articles for publications such as the New York Times. In the academic year 2016–2017, she was a Visiting Assistant Professor in the Martin Luther King, Jr. Visiting Professors and Scholars Program at the Massachusetts Institute of Technology, hosted by the Department of Women's and Gender Studies and the MIT Comparative Media Studies/Writing Program. She has also been a faculty visitor at the Berkman Klein Center for Internet & Society at Harvard University and at Microsoft Research.
Automated decision-making (ADM) involves the use of data, machines and algorithms to make decisions in a range of contexts, including public administration, business, health, education, law, employment, transport, media and entertainment, with varying degrees of human oversight or intervention. ADM involves large-scale data from a range of sources, such as databases, text, social media, sensors, images or speech, that is processed using various technologies including computer software, algorithms, machine learning, natural language processing, artificial intelligence, augmented intelligence and robotics. The increasing use of automated decision-making systems (ADMS) across a range of contexts presents many benefits and challenges to human society requiring consideration of the technical, legal, ethical, societal, educational, economic and health consequences.
