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AI is changing our everyday lives. For good? This web series explores an array of areas that are influenced by Everyday AI.

I was fortunate to be invited to the wonderful (huge) campus of TU Delft earlier this year to give a talk on “Designing for AI.” I felt a little bit more of an imposter than usual – as I’d le…

“At some point we might not refer to augmented reality anymore but instead just refer to reality.”Bas van de Poel dives into the different definitions of the...

Machine-learning-design researcher and artist Caroline Sinders discusses research driven art, machine learning, and design.Caroline Sinders is a machine-lear...

Matt Jones talks to us about his work and his career.

This is an excerpt from my current class on text-to-image models. The full course videos will be posted beginning in December.Join this channel to get access...

Vincent Warmerdam builds a lot of NLP tools (https://github.com/koaning). Many of these tools target the scikit-learn ecosystem and there's a theme of labeling across many of them. A recent focus of his stack of tools is to improve training data. In this video, Vincent and Jay discuss a few of these tools and show how they work together. These tools are discussed in the video: - Human-learn: a toolkit to build human-based scikit-learn components - Doubtlab: a toolkit to help find doubtful labels in data - Embetter: A library that makes it very easy to use embeddings in scikit-learn - Bulk: a library that uses embeddings to leverage bulk labeling The talk includes live demos for each and to show how some simple tricks can go a long way. === Join the Cohere Discord: https://discord.gg/co-mmunity Discussion thread for this episode (feel free to ask questions): https://discord.com/channels/954421988141711382/1042163984817721527 Vincent on Twitter: https://twitter.com/fishnets88 human-learn: Natural Intelligence is still a pretty good idea. https://koaning.github.io/human-learn/index.html https://github.com/koaning/human-learn/ doubtlab: Doubt your data, find bad labels. https://koaning.github.io/doubtlab/ https://github.com/koaning/doubtlab embetter: just a bunch of useful embeddings https://github.com/koaning/embetter bulk: A Simple Bulk Labelling Tool https://github.com/koaning/bulk Calmcode: Code. Simply. Clearly. Calmly. Video tutorials for modern ideas and open source tools. https://calmcode.io/ About The Speaker: Vincent worked as an engineer, consultant, researcher, team lead, and educator in the past. Currently, he works as a Machine Learning Engineer over at Explosion, the company behind spaCy and Prodi.gy. In addition to his work at Explosion, he also maintains many scikit-learn-related plugins as well as a popular learning resource over at calmcode.io. He's also a frequent speaker at conferences where he defends common sense over the hype in ML. === Contents 0:00 Introduction 3:06 Tools for Data Quality 9:18 human-learn: Natural Intelligence is still a pretty good idea. 12:28 human-learn: demo 27:11 doubtlab: Doubt your data, find bad labels. 42:35 embetter: just a bunch of useful embeddings 46:16 embetter: demo 58:10 bulk: A Simple Bulk Labelling Tool 1:00:20 bulk demo: exploring text data 1:10:47 bulk demo: exploring images 1:16:20 Why use the scikit learn API? What are the benefits and limitations? 1:17:22 Programmer productivity tips

Stable Diffusion and DALLE 2 are disrupting our media landscape and there’s a need for critical discussion. Intellectual property, automation, deception and ...

“Is 65% spoon-ness a spoon?”“Something truly smart might rather do something unexpected.”Simone Rebaudengo is exploring the way we are living and interacting...

“Lager networks might have a slight conscious.”Maya Indira Ganesh is a cultural scientist who explores the poetics and policies of AI and metaphors, asking...

An exhibition in the Guggenheim Museum in Bilbao, Spain, features ETH Zurich architects who show their vision of utopia - a vertical city built by drones, developed in 2012. Along with computer scientists, they have now populated the structure with autonomous avatars. ETH Social Media Links: Facebook: https://www.facebook.com/eth/ Instagram: https://www.instagram.com/ethzurich/ Twitter: https://twitter.com/eth_en LinkedIn: https://www.linkedin.com/school/eth-zurich/ https://www.ethz.ch

00:00 GREETING AND GATHER TUTORIAL 03:07 WORKSHOP + ARTIST INTRO 07:04 POSENET ACTIVITY WITH YASMIN 12:50 MAYA'S PRESENTATION 34:28 Q&A 53:32 OUTRO On Wednesday, Aug 16th at 1800 CEST, we had the honor of hosting Maya Man, who spoke on Navigating the Body + Self on the Internet with the AIxDesign Community! **About the event:** - In this talk, Maya Man shared her work translating self & body into pixels. Her background in dance has led her to projects that mix performance and computer vision to push our expectations for how bodies can be represented in the browser. In this session, Maya shared some of the projects she’s been working on with us, highlighting the ways she thinks about how we represent ourselves on-screen 🤳🏾 - [link to Eventbrite event](https://www.eventbrite.com/e/ai-playground-navigating-self-body-on-the-internet-with-maya-man-tickets-385725714997?ref=eemaileventremind) **About the speaker:** - Maya Man is an artist, programmer, and choreographer. Her work considers the computer screen a space for intimacy and performance, focusing on the phenomenon of translating our offline selves into on-screen content. She holds a Bachelor of Arts degree in Computer Science and Media Studies from Pomona College. She is currently pursuing an MFA in Media Art at UCLA in Los Angeles, California. - [https://mayaontheinter.net/](https://mayaontheinter.net/) - [@mayaontheinternet](https://www.instagram.com/mayaontheinternet/) **About AIxDesign:** We’re a community and extended network of people exploring the intersection of AI/ML and design. AIxDesign was born in 2020 as a Slack space to collectively nerd out on the convergence of these two disciplines, and have conversations around how to design critical, creative, and human(ity)-centered AI. For more info check out: [https://www.aixdesign.co/](https://www.aixdesign.co/) + [http://bit.ly/ai-design-subscribe](http://bit.ly/ai-design-subscribe) + [https://www.instagram.com/aixdesign.co/](https://www.instagram.com/aixdesign.co/) + [https://www.linkedin.com/company/aixdesign/](https://www.linkedin.com/company/aixdesign/)

00:00:00 INTRO 00:07:51 ComputationalMama's Presentation 00:17:23 Fingerp(ai)nting Workshop 01:22:45 Final Thoughts + OUTRO On Tuesday, Sep 6th at 1800 CEST, we had the honor of hosting [@computationalmama](https://www.instagram.com/computational_mama/), who taught a live workshop on fingerp(ai)nting with the AIxDesign Community! **About the event:** - In this workshop, @computationalmama introduced us to PoseNet + HandPose, real-time (hand)pose detection models, and taught us how to fingerp(ai)nt with words. 🤳🏾 - The talk was open to curious individuals and people from all fields and disciplines can follow along🪩 - [link to Eventbrite event](https://www.eventbrite.com/e/ai-playground-learn-to-fingerpaint-with-words-registration-398866549587) **About the speaker:** - As a creative technologist, [@computationalmama](https://www.instagram.com/computational_mama/)’s work explores coding as a form of self-care and learning. She’s the co-founder of Ajaibghar Cultural Services, a consultancy for museums and culture projects, as well as the Program Lead for AIxD’s AI Playground. - See more at [https://computationalmama.xyz/](https://computationalmama.xyz/) **About AIxDesign:** We’re a community and extended network of people exploring the intersection of AI/ML and design. AIxDesign was born in 2020 as a Slack space to collectively nerd out on the convergence of these two disciplines, and have conversations around how to design critical, creative, and human(ity)-centered AI. For more info check out: [https://www.aixdesign.co/](https://www.aixdesign.co/) + [http://bit.ly/ai-design-subscribe](http://bit.ly/ai-design-subscribe) + [https://www.instagram.com/aixdesign.co/](https://www.instagram.com/aixdesign.co/) + [https://www.linkedin.com/company/aixdesign/](https://www.linkedin.com/company/aixdesign/)

How can we build (super) intelligent machines that are robustly aligned with human values? AI alignment researchers strive to meet this challenge, but currently draw upon a relatively narrow set of p…

Buse Çetin guides the audience in a discussion of social injustices that may emerge from the algorithms behind social media profiles. She encourages us to ha...

Refik Anadol, the director of Refik Anadol Studio in Los Angeles, will present his team’s latest project from the studio’s multi-year research unit: Machin

One trend I’ve been noticing in the design world is a heavy emphasis on data-driven design. I think it’s going to be one of the most important industrial des...

This is "All Watched Over by Machines of Loving Grace - Episode 1 - Love and Power.cs.subs" by Ondra Pelech on Vimeo, the home for high quality videos…

Martin Schmitt (Technical University of Darmstadt) provides new insights into the formation and transformation of AI research in the GDR in the 1980s and 199...

Making Friends with Machine Learning was an internal-only Google course specially created to inspire beginners and amuse experts. Today, it is available to e...

In this Machine Learning Tech Talks session, Senior UX Designer Di Dang unpacks best practices for ML product decisions using the People + AI Guidebook.

From Internet Society's FACETS CONFERENCE 2017, an array of talks on how humans and AI should talk with one another, followed by a panel discussion. This video contains the following talks: [1:22] Melanie Hoff on bots that are narrow and full (the range of bots and what can be considered a minimum viable bot) and how we view and reflect on our understanding of these bots; [16:10] Francis Tseng on if bots can be empathetic to humans and if so, would we want them to be?; [29:25] Allison Parrish on how bots are extensions of people; [43:35] and Judith Donath on our perceptions of machines as thinking.

WIRED has challenged computer scientist and Hidden Door cofounder and CEO Hilary Mason to explain machine learning to 5 different people; a child, teen, a college student, a grad student and an expert.

NextRise 2021, Seoul Online ConferenceCategory : ESGTopic : Design Responsibly: Creating AI products with the Human + AI design guidelinesSpeakers : Ruth kik...

From Engineering ArchiTECHture | An exploration into how AI is used in architectural design hosted by AIxDesign member Mayur (who hosts amazing sessions like this on regular basis)!

Curious about designing human-centered AI products? Let’s walk through a case study of how a Google product team has made design decisions that are people-first. You’ll learn frameworks and tips for building your own AI products.

Join Gabe Clapper, Staff Designer at Google’s People + AI Research team to review the new edition of the People + AI Guidebook - a set of methods, best practices,...

As Chief Decision Scientist at Google Cloud, Cassie Kozyrkov guides teams in data-driven decision process and AI strategy. She is the innovator behind bringing the practice of Decision Intelligence to Google, personally training over 15,000 Googlers. In this video, Cassie provide tips for staying in the “AI safety mindset”. Kozyrkov cautions, “the objective is always subjective”: exactly what you want the AI to learn will depend on exactly what you’re using it for.

A collection of talks from members of the IxDA community on design and artificial intelligence, curated from editions of our Interaction conference.