AIxDESIGN Bookmark Library

AIxDESIGN Bookmark Library

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Talk to Me! — How (Should) Humans and AI Talk with Each Other
Talk to Me! — How (Should) Humans and AI Talk with Each Other
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.
Talk to Me! — How (Should) Humans and AI Talk with Each Other
Make ML Art With Google Colab: Week 1
Make ML Art With Google Colab: Week 1
Slides for this lecture: https://docs.google.com/presentation/d/15kvV2y0MDoJKHOMs8FWgNVGTNq6sWKA4lO6pPxdfaXw/edit?usp=sharingClass notes and links: https://d...
Make ML Art With Google Colab: Week 1
The Zizi Show - A Deepfake Drag Cabaret
The Zizi Show - A Deepfake Drag Cabaret
Drag Queens, Drag Kings, Drag Things and Artificial Intelligence... The Zizi Show (2020) is a deepfake drag cabaret, a virtual online stage hosting a groundbreaking new show with a twist. It features acts that have been constructed using deepfake technology, learning how to do drag by watching a diverse group of human performers. The Zizi Show dissects one of the dominant myths about AI, the notion that 'an AI' is a thing we might mistake for a person.
The Zizi Show - A Deepfake Drag Cabaret
Learn All About Bad Labels & Introduction on calmcode.io
Learn All About Bad Labels & Introduction on calmcode.io
Even famous datasets have bad labels in them. You can see plenty of examples by going to labelerrors.com. The site hosts many examples of bad labels in very popular benchmark datasets. These datasets include MNIST, Amazon Reviews, IMDB Reviews, QuickDraw and CIFAR. The website is part of a research
Learn All About Bad Labels & Introduction on calmcode.io
The role of design in creating experiences of future distributed intelligent systems by Agnieszka Zimolag
The role of design in creating experiences of future distributed intelligent systems by Agnieszka Zimolag
The ethics, data, privacy and complexity are not only presenting the constraints for the development and design of the intelligent systems but also open up a space for new modes of thinking. Through real-life examples, I’ll discuss how designers can reimagine the goals and focus on the unique attributes, potentials of the evolving nature of the emerging intelligent systems as well as its implications on the society and the individuals.
The role of design in creating experiences of future distributed intelligent systems by Agnieszka Zimolag
Becoming an AI-first product leader
Becoming an AI-first product leader
Join Tomer Cohen for an in-depth discussion in this video, Becoming an AI-first product leader, part of Becoming an AI-First Product Leader.
Becoming an AI-first product leader
IAM Weekend | Reimagining the digital economy for sustainable futures
IAM Weekend | Reimagining the digital economy for sustainable futures
The annual conference where responsible tech, digital design, media innovation and internet cultures meet to rethink the internet(s). Join us for IAM Weekend 21 from November 11-13 in Barcelona or November 11-18 from home to imagine intercitizenships.
IAM Weekend | Reimagining the digital economy for sustainable futures
NextRise 2021 Online Conference - Microsoft (Kor Sub)
NextRise 2021 Online Conference - Microsoft (Kor Sub)
NextRise 2021, Seoul Online ConferenceCategory : ESGTopic : Design Responsibly: Creating AI products with the Human + AI design guidelinesSpeakers : Ruth kik...
NextRise 2021 Online Conference - Microsoft (Kor Sub)
Now That Machines Can Learn, Can They Unlearn?
Now That Machines Can Learn, Can They Unlearn?
By Tom Simonite (WIRED) | Privacy concerns about AI systems are growing. So researchers are testing whether they can remove sensitive data without retraining the system from scratch.
Now That Machines Can Learn, Can They Unlearn?
Prompt Engineering: The Career of Future
Prompt Engineering: The Career of Future
With the No-Code revolution around the corner, and the coming of new-age technologies like GPT-3 we may see a stark difference between the…
Prompt Engineering: The Career of Future
Attack discrimination with smarter machine learning
Attack discrimination with smarter machine learning
By Martin Wattenberg, Fernanda Viégas, and Moritz Hardt | As machine learning is increasingly used to make important decisions across core social domains, the work of ensuring that these decisions aren't discriminatory becomes crucial. Here we discuss "threshold classifiers," a part of some machine learning systems that is critical to issues of discrimination.
Attack discrimination with smarter machine learning
Deep Learning Specialization
Deep Learning Specialization
The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology.
Deep Learning Specialization