The New Jim Code and Decoding Bias

From everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce White supremacy and deepen social inequity. Benjamin argues that automation, far from being a sinister story of racist programmers scheming on the dark web, has the potential to hide, speed up, and deepen discrimination while appearing neutral and even benevolent when compared to the racism of a previous era. This illuminating guide provides conceptual tools for decoding tech promises with sociologically informed skepticism. In doing so, it challenges us to question not only the technologies we are sold but also the ones we ourselves manufacture. Visit the book's free Discussion Guide here.

In the movies, robots can be terrifying. In reality, thinking machines are disrupting the world in ways that are even more disturbing than in Hollywood fantasies - but they also have the potential to change our lives for the better. In this stirring, visionary work, acclaimed roboticist Dr. Ayanna Howard explores how the tech world's racial and sexual biases are infecting the next generation of Artificial Intelligence, with profoundly negative effects for humans of all genders and races. Drawing on cutting-edge research, and her own experience as one of the few Black women in the field of robotics, Dr. Howard shares how she navigated bias in her own coming-of-age as a roboticist. She also reveals how the world of computer programmers, which largely lacks women and Black people, is producing thinking machines that too often think like their flawed creators. The danger of bias in our AI-powered machines has never been greater. Governments are using supercomputers to track COVID-19 patients. AI is being employed to monitor Black Lives Matter protests. Voice recognition systems have been rolled out that can't hear female voices. Dr. Howard delivers a stirring warning about the risks of AI and robots - but also offers an uplifting message about empowerment and where we need to go next.

A revealing look at how negative biases against women of color are embedded in search engine results and algorithms Run a Google search for "black girls"--what will you find? Sexually explicit terms are likely to come up as top search terms. But, if you type in "white girls," the results are radically different. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. An original, surprising and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century.

A powerful investigative look at data-based discrimination?and how technology affects civil and human rights and economic equity The State of Indiana denies one million applications for healthcare, foodstamps and cash benefits in three years--because a new computer system interprets any mistake as "failure to cooperate." Today, automated systems--rather than humans--control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor. In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America.

(OSU e-Resource, Open Access)

(OSU e-Resource, Open Access)

(OSU e-Resource)

(OSU e-Resource)

(OSU e-Resource, Open Access)