The hottest Data Ethics Substack posts right now

People promoting generative AI want us to believe it is inevitable, but that doesn't mean it's without risks.
Humanity often faces catastrophic failures due to a mix of bad structural incentives and human desires.
The push for artificial intelligence might lead to a world where human expression is replaced by algorithms, impacting writing and creativity.

Meta introduced an AI image generator trained on 1.1 billion Instagram and Facebook images.
The AI creates images from text prompts and aims for aesthetic appeal.
Questions on data ethics arose due to the extensive training dataset, leading Meta to implement filters and a watermarking system.

The best predictions come from deep analysis of today's data challenges and trends.
Data oracles provide valuable insights for the future by understanding present data trends.
Data writers like Davenport, Moses, Madsen, and Thomas offer grounded observations and advice on data topics.

Open-sourced AI can be dangerous when unregulated and in the hands of individuals who may use it for harmful purposes.
The proliferation of open-source AI projects without proper ethical boundaries makes it challenging for regulators to monitor and control its potential risks.
There is a significant concern over the unintended consequences of developers creating and sharing homebrew versions of AI models, leading to a lack of understanding and control over the technology's impact.

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Google is using mathematics data for its own purposes, raising concerns about copyright infringement.
Mathematicians should be cautious about the potential misuse of their work by tech industry giants.
Legal challenges are arising around AI's use of copyrighted material, especially in the realm of mathematics.

The Latent Space Art Academy offers a course on AI images, delving into data ethics and media studies through histories of computation and art.
The course includes guest lectures, exploring topics like cybernetics, art, AI-generated knitting patterns, and the societal impacts of AI technologies.
By focusing on making images with AI, the course aims to help students understand how AI works, its cultural context, and how it can redefine our relationship with technology.