There’s an increasing obsession with “humanness” these days: Humanness in the age of AI Worldcoin: a solution in search of its problem (...
Our AI Philosophy | Typefully
Social media runs on an implicit contract: I write something, you follow me, you read it, and you trust it came from a human mind. AI writing is curr…
Collective action strategies in the age of AI w/ Nick Vincent from Data Leverage
Podcast Episode · The Blockchain Socialist · March 4 · 1h 3m
The AI future where humans get paid to be creative
For the love of God, stop calling your AI a co-worker | TechCrunch
A growing number of startups are anthropomorphizing AI to build trust fast -- and soften its threat to human jobs.
‘There’s a Value in What We Produce Because We Feel – and an AI Chatbot Can’t Feel’
Byline Times' Editor in Chief meets Kate Devlin, Professor of AI and Society at King’s College London, to explore how relationships with AI companions aren’t particularly new, why she believes the under-16s social media ban is flawed, and why human creativity can't be matched
Human Life in a Post-AGI World - Google DeepMind Talk
Tyler Cowen at Google DeepMind on life after AGI: rebuilding every institution, the rise of "AI maniacs," and why the future will be drenched in meaning.
AI as Social Technology
Our debates about ‘AI’ grow out of 1990s science fiction. Back then, Vinge (1993) wrote essays and novels urging us to face up to the oncoming “Singularity”: a moment of rapid change that would fundamentally transform the human condition. On that day, AI would rapidly evolve from merely human-level intelligence, what some now call ‘artificial general intelligence’ (AGI), into something super-intelligent with its own interests and goals. Humanity would then either be casually eliminated by out-of-control machines, or humans would become as gods, with super-human servitors at our command.
Company Offering ‘100% Human-Written, Never AI’ Medical Research Is Entirely AI
Research Gold's team of human methodologists are either AI generated or using the identity of real people without their permission
Anthropomorphism Is Breaking Our Ability to Judge AI
Tech Policy Press fellow James Ball asks, how should we interact with a technology designed to ‘speak’ with us on what appear to be human terms?
Anthropomorphism in AI: hype and fallacy
This essay focuses on anthropomorphism as both a form of hype and fallacy. As a form of hype, anthropomorphism is shown to exaggerate AI capabilities and performance by attributing human-like traits to systems that do not possess them. As a fallacy, anthropomorphism is shown to distort moral judgments about AI, such as those concerning its moral character and status, as well as judgments of responsibility and trust. By focusing on these two dimensions of anthropomorphism in AI, the essay highlights negative ethical consequences of the phenomenon in this field.
Anthropomorphism in AI: hype and fallacy
This essay focuses on anthropomorphism as both a form of hype and fallacy. As a form of hype, anthropomorphism is shown to exaggerate AI capabilities and performance by attributing human-like traits to systems that do not possess them. As a fallacy, anthropomorphism is shown to distort moral judgments about AI, such as those concerning its moral character and status, as well as judgments of responsibility and trust. By focusing on these two dimensions of anthropomorphism in AI, the essay highlights negative ethical consequences of the phenomenon in this field.
Field Theory: AI as Social Science Question, Object & Tool
Uses of advanced artificial intelligence are changing how societies organize labor, govern, produce knowledge, and make meaning. In light of these developments, this essay argues that AI models, tools, and systems pose three interrelated imperatives for social science: they demand renewed attention to social theories of how technology, human experience, and social order are entangled; they require study as objects of inquiry in their own right; and they offer capabilities that may transform—or upend—the practice of social investigation itself. From Weber’s analysis of rationalization to Du Bois’s study of technology and inequality to contemporary scholarship on algorithmic governance, the essay examines what social science distinctively offers: the capacity to historicize the apparently unprecedented, to trace connections across scales, and to center those most affected by technological change. It identifies how algorithmic systems are remaking the distribution of opportunity and risk as a central task of social inquiry and asks what futures social science might help bring into being.
Human identity: the number one challenge in computer science
If the modern ‘problem of identity’ was how to construct an identity and keep it solid and stable, the postmodern ‘problem of identity’ is primarily how to avoid fixation and keep the options open. (Bauman 2011)
ETCH
We believe technology should serve humanity and that human creativity is essential and irreplaceable. We support the ethical development and deployment of AI by funding protective technologies and translating research into real-world tools for creative communities.
AI experienced through AI co-created tools
AI co-created tools and social spaces as a new medium
