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All links in: tech ethics (all links)
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Tech for bad
Big tech doesn't seem against building technology to aid deportation:
The Intercept posed the same question to each company, and requested a yes or no response: Would your company provide the Trump administration with data or other technical services to help facilitate mass deportation operations, either voluntarily, in response to a legal request, or via a paid contract?
(From: These Tech Firms Won’t Tell Us If They Will Help Trump Deport Immigrants)
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TAG on third party cookies
Hadley Beeman of the Technical Architecture Group:
After reading Google’s announcement that they no longer plan to deprecate third-party cookies, we wanted to make our position clear.
(From: Third-party cookies have got to go | 2024 | Blog | W3C)
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Questioning practices for a more ethical web
Every day, I get to work with people who do good work, who care about things like privacy, ethics and accessibility. We exist. We just are drowning, drowning in algorithmically-guarded walled gardens that are nothing more than quagmires of enshittification, of AI-generated content, of snake-oil solutions.
(From: Have we forgotten how to build ethical things for the web? - Nic Chan)
This piece from Nic resonated. There's a lot of good people in the web industry, doing good things. But there's also a lot of very bad practices that have an impact way beyond their initial uses. From content optimised for search engines (and thus not for humans) to extreme tracking (very far from just figuring out how many people visit which pages).
To avoid bad practices and build more ethically as an industry, I think what Nic shares would actually be the most effective way: to actively question practices and orders we receive as individuals in teams. In What kind of ethics do front-end developers need? I listed a bunch of other things that individuals in teams can make a fuss about.
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Algorithmic thatcherism
Dan McQuillan says AI is algorithmic Thatcherism:
“Case after case, from Australia to the Netherlands, has proven that unleashing machine learning in welfare systems amplifies injustice and the punishment of the poor. AI doesn't provide insights as it's just a giant statistical guessing game. What it does do is amplify thoughtlessness, a lack of care, and a distancing from actual consequences.”
(via Ethan Marcotte)