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
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.
Computer Scientist Explains Machine Learning in 5 Levels of Difficulty
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.
Technology and Power Curriculum — The Radical AI Podcast
This course examines the interactions of technology and power, in particular, how technology enforces and extends both state and privatized forms of power.
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.
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...
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.
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.
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.
Working with participants in AI data collections: drawing from user research and communication…
By Arathi Sethumadhavan, David Mondello, and Karen Chappell | "So much of the participant experience during data collections is shaped by the moderator leading the session. It is therefore a vitally important role, and one that can really make a difference in helping to address potential concerns or questions that participants might have." This article provides tips and tricks for moderating a session for data collection.
Designing in Liquid Times: Generative Graphic Design in an Age of Uncertainty
By Marlies Peeters, PLOT(s): Journal of Design Studies | The shift of information from static to mobile and ephemeral has influenced what it means to be a graphic designer. Not only do graphic designers have to adapt to a new medium, but they are no longer the only people who have access to these skills when design tools are made to be easily accessible by people with no design experience as well. With the developments of software and its accessibility, how has graphic design changed as a profession?