This anthology was curated from stories of living with data and AI in/from the majority world, narrated at a storytelling workshop in October 2021 organized by Data & Society Research Institute.

Symbolic language can help us grasp the nature and power of what is coming

Leverage hallucinations from Large Language Models (LLMs) for novelty-driven explorations. - GitHub - DivergentAI/dreamGPT: Leverage hallucinations from Large Language Models (LLMs) for novelty-dri...

Hi, I'm Pi. I'm your personal AI, designed to be supportive, smart, and there for you anytime. Ask me for advice, for answers, or let's talk about whatever's on your mind.

How many humans does it take to make tech seem human? Millions.

This year Google Creative Lab is inviting multidisciplinary creatives to apply for a paid gig (£300 per day) and collaboration up to 12 months at Google Creative Lab, London. As a Fiver you will work on projects big, small and first of their kind within Google. You will be paired with a mentor and work closely with other creatives. A Fiver is an essential part of Google Creative Lab and it’s the way a lot of our current leaders started.

One Project is looking for a Product Designer to collaborate on prototypes and products that support alternative economic and governance systems. We are seeking an experienced Product Designer fluent in participatory practices, grounded in principles of equity and justice, and curious about how a world beyond capitalism would look, feel, and function.

🔬 Research Summary by Elizabeth Seger, PhD, a researcher at the Centre for the Governance of AI (GovAI) in Oxford, UK, investigating beneficial AI model-sharing norms and practices.

Public resources from the Reshape forum for AI in Art and Design

The Center of Everyday Technology is a Rotterdam based initiative that collects, conducts and instigates research into everyday technology.

Collected data and analysis from a large survey of machine learning researchers.

Artist and Writer | Portfolio

The machines that nudge us can be nudged back: Here are some ideas on how to steer them.

💡 The perfect tool for inspiration!

Why should protecting one’s privacy be a hassle? Why should users “Accept All” cookies by default? The Cookies Monster deals with your…

Forum for Artificial Intelligence in Art and Design. 10-12 May 2023. Hochschule für Gestaltung Schwäbisch Gmünd.

Revisiting Gene Youngblood's 1989 Essay on Digital Storytelling in 2023

How AI misrepresents culture through a facial expression. "For the diversity of human expression to survive algorithmic hegemony."

Her new organization, DAIR, will raise the alarm about how AI is being deployed today and use AI to speak truth to power.

Workers’ fear of new artificial intelligence technology makes sense: that technology has the potential to eliminate their jobs. But if we didn’t live under capitalism, AI could be used to liberate us from drudgery rather than hurl us into poverty.

It has only been a little under four months since ChatGPT came out, and yet I already feel super behind in publishing this story. I guess…

I’m teaching Machine Learning at Pratt Institute’s School of Information this semester (syllabus here). For the first day of class, I wanted to have a sort of physical or paper-based exercise that demonstrates the concept of machine learning to people totally new to the subject. I experienced this non-computer-based approach to introducing computation through Zach Lieberman’s coding class at the School for Poetic Computation, where we started off by playing the Human Fax Machine Experiment which revolves around the concepts of encoding and decoding. How does one apply this approach to machine learning? There are some very intuitive digital introductory material that illustrate neural networks or decision trees, but I wanted something more tangible.

Key Thoughts Designers tend to care about people as people. Instead of just as prospects or customers. Design as a field has evolved to speak more machine, more scale, and more $$$s. A lot of work …

Machine Bias explore the unconscious bias built into AI systems and map potential strategies for a more inclusive tech landscape.

I am a cognitive scientist researching human behaviour, social systems, and responsible and ethical Artificial Intelligence (AI). I recently finished my PhD, where I explored the challenges and pitfalls of automating human behaviour through critical examination of existing computational models and audits of large scale datasets. You can read my thesis here.

C/Change invites interdisciplinary teams and individuals around the globe to submit concepts for interactive prototypes that articulate a vision for the future of online cross-cultural exchange.

With this write-up, I want to outline my current thinking around large language models like OpenAI's chatGPT.