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RT @useworldapp: World Chat: a messaging app for humans. End-to-end encryption, global payments and Mini Apps inside conversations. Secured…
Financial freedom advocate I Outdoor enthusiast I Proud Father and American. Personal account.
Friendly reminder that the “get shit done” founder beats the “perfect plan” founder 100% of the time in startups because speed of execution wins.
Founder and CEO of @acquiredotcom. https://t.co/wRMIssDmhl has helped 1000s of startups get acquired and facilitated $500m+ in closed deals.
10 weeks completed 🤩 Already feeling stronger, leaner (a bit), and my mind is clearer 😌 How’s going to be like at week 100?
I build stuff. On my way to making $1M 💰 My projects 👇
📢📢 I have a new paper in which I argue that the question “Can we make algorithms fair?” is a category error: https://t.co/IWod5em6mz A few years ago I became disillusioned with algorithmic fairness research and stopped working in the area. So when I was invited to contribute an essay to the volume “Contemporary Debates on the Ethics of Artificial Intelligence” (part of the highly successful “Contemporary Debates in Philosophy” series), it was an opportunity for me to look back and reflect. The key thesis: “There has been an avalanche of research on how to make algorithms fair, and there has been a powerful movement to turn those ideas into reality. How have things panned out?I will argue that this movement has been only minimally effective at preventing harms from automated decision-making systems. When we analyze why, it reveals two important limitations of the underlying ideas. First, fairness as a proxy for justice focuses attention on too narrow a set of questions. Second, it applies a depoliticized lens that gives an illusion of moral clarity in academic discussions but runs into headwinds when actually attempting to implement it. These attributes are not incidental and cannot easily be fixed. They are integral to what makes the fairness frame appealing in the first place.” The second part of the paper is constructive: “I advocate for a more ambitious study of fairness and justice in algorithmic decision making in which we attempt to model the sociotechnical system, not just the technical subsystem. The animating question becomes: “How should we design algorithmic bureaucracies?” This will require many shifts including letting go of neat, mathematically precise fairness definitions and embracing empirical social scientific methods. But the potential payoff is enormous in terms of a greater ability to model benefits and harms and much expanded design space for reform.” The other essays in the volume sound fascinating and I look forward to reading them. https://t.co/vTOK0vG2jQ 1 What Is Artificial Intelligence and Should We Define It in Terms of Agency? Sven Nyholm 2 Artificial Intelligence as a New Form of Agency Luciano Floridi 3 What Can AI Ethics Learn from Medical Ethics, Bioethics, and Animal Ethics? Paula Boddington 4 What Is Distinctive About AI Ethics When Compared to Bioethics? Thomas Grote 5 Can We Make Algorithms Fair? Margaret Mitchell 6 What If Algorithmic Fairness Is a Category Error? Arvind Narayanan 7 Are Explanations of AI Decisions Morally Necessary? Emily Sullivan 8 Doing Without Explainable AI David Danks 9 Nine Philosophical Questions About Privacy Leonhard Menges 10 The Group Right to Privacy in the Age of AI Anuj Puri 11 Group Rights: A Skeptical View John Zerilli 12 Entangling Ourselves with AI: Affirmative Responsibility and the Cultivation of Responsible Agency Fabio Tollon and Shannon Vallor 13 Generative AI, Language, and Authorship: Deconstructing the Debate and Moving It Forward Mark Coeckelbergh and David Gunkel 14 From “Can AI Be Creative?” to “What Is the Value of Integrating AI into Creative Processes?” Caterina Moruzzi 15 What Will Work Be Like in the Future? Daniel Susskind 16 AI and the Future of Work: An Egalitarian Vision Kate Vredenburgh 17 What Would It Look Like to Align Humans with Ants? Vincent Conitzer 18 Could We Control Superintelligent AI? Roman V. Yampolskiy 19 The Many Faces of AI Alignment Atoosa Kasirzadeh 20 On the Troubled Relation Between AI Ethics and AI Safety Olle Häggström 21 Short-Term or Long-Term AI Ethics? A Dilemma for Ethical Singularity Only Vincent C. Müller 22 Should We Worry About the Moral Status of Nonsentient AIs? Parisa Moosavi 23 On the Moral Status of AI Entities and Robots: A Critique of the Social-Relational Approach and a Defense of the Properties-Based Approach John-Stewart Gordon Carbon-Intensive Activities Sustainable? 24 Reduce, Reuse, Recycle, Refuse: Green Data Refusal and Sustainable AI Cristina Richie 25 The Making and Management of Computational Agency Ranjit Singh 26 Deepfakes and Democracy Claire Benn 27 Should Online Platforms Be Publicly Owned and Controlled? Sean Donahue 28 The Tragedy of AI Governance Simon Chesterman 29 Can AI Be Governed? Gillian K. Hadfield
Princeton CS prof and Director @PrincetonCITP. Coauthor of "AI Snake Oil" and "AI as Normal Technology". https://t.co/ZwebetjZ4n Views mine.
2024年初开始认真玩推， 历史接近两年， 账号被我玩到了6万关注。 重要的是我通过一年持续的短文写作， 让我的表达能力、理解能力有了超级大的提高。 至于涨粉什么的， 对我来说算是一种数字游戏吧， 算是一游戏积分。
独立开发者 ｜ 个人IP教练 ｜ 帮助新手在X上完成早期成长｜ 公众号：PandaTalk8
RT @art_zucker: I invoke the strenght of the many: let 🤗 be a font Awesome icon pleaseeeeeeee https://t.co/k15ZXk0DzI 🥹🥹
Co-founder & CEO @HuggingFace 🤗, the open and collaborative platform for AI builders