Archive

danah boyd: Algorithmic Accountability and Transparency

In the next ten years we will see data-driven technologies reconfigure systems in many different sectors, from autonomous vehicles to personalized learning, predictive policing, to precision medicine. While the advances that we will see will create phenomenal new opportunities, they will also create new challenges—and new worries—and it behooves us to start grappling with these issues now so that we can build healthy sociotechnical systems.

How an Algorithmic World Can Be Undermined

All they have to do is write to journalists and ask questions. And what they do is they ask a journalist a question and be like, “What’s going on with this thing?” And journalists, under pressure to find stories to report, go looking around. They immediately search something in Google. And that becomes the tool of exploitation.

You Are Not a Digital Native (and that’s OK)

You may have heard people come up to you and say like, “Hey, you’re young. That makes you a digital native.” Something about being born after the millennium or born after 1995 or whatever, that makes you sort of mystically tuned in to what the Internet is for, and anything that you do on the Internet must be what the Internet is actually for. And I’m here to tell you that you’re not a digital native. That you’re just someone who uses computers, and you’re no better and no worse than the rest of us at using computers.

Social and Ethical Challenges of AI

One of the challenges of building new technologies is that we often want them to solve things that have been very socially difficult to solve. Things that we don’t have answers to, problems that we don’t know how we would best go about it in a socially responsible way.

Malia Lazu, Black Reality 2.0: Creating and Making in the Digital Age

I became tired of knocking on the same doors and either seeing the same people or different people. But I really just felt like I was in this cycle of faux liberation, where I would feel a victory, and the victory was probably formed around the RFP for the grant that we needed to get in order to do our work.

Data & Society Databite #41: Ifeoma Ajunwa on Genetic Coercion

The mythology of genetic coercion is thoughts that genetic data, especially large-scale genetic databases, have the ability to pinpoint certain risk of disease. They provide agency to act to prevent such disease, and it can be used to create accurate personalized treatment for disease, and it should also be entrusted with the authority to dictate the modification of the genome for future generations.

Biased Data Panel Discussion

I think that we need a radical design change. And I might ask if I were teaching an HCI class or design class with you, I would say, “How are you going to design this so that not one life is lost?” What if that were the design imperative rather than what’s your IPO going to be?