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?
Teens use “algorithmic folklore” to crack TikTok’s black box
By Iretiolu Akinrinade & Joan Mukogosi | Despite the prevalence of strategic ignorance inside social media and gaming companies, today’s teen tech users have developed a number of creative and often hilarious strategies to make sure that they are seen, heard, and valued online.
By Katherine Miller | A Stanford researcher advocates for clarity about the different types of interpretability and the contexts in which it is useful.
From Daniel Leufer and AI Myths team (Mozilla Fellowshop Project) | With every genuine advance in the field of ‘artificial intelligence,’ we see a parallel increase in hype, myths, misconceptions and inaccuracies. These misunderstandings contribute to the opacity of AI systems, rendering them magical, inscrutable and inaccessible in the eyes of the public.
By Nathalie Heynderickx and Leonard Hoon, PhD | A call to action to start conversations on AI governance, this manifesto highlights three questions for starting this dialogue.
Why humans are complicated in a way AI may never understand
From Reaktor's Everyday AI Insight | How can AI become better at helping us discover what we want at any given time when our moods and expectations of an answer change all the time?
By Elaine Lee | You may not know it, but as a product designer, you most likely have been designing for products that use some form of artificial intelligence.
Designing trustworthy machine learning systems - Algorithm
Op-ed: Many methods have been developed to promote fairness, transparency and accountability in the predictions made by artificial intelligence and machine learning systems. A technical approach is often the focal point of these methodologies, however, to develop truly ethical machine learning systems that can be trusted by their users, it's important to supplement this with a human-centred approach.
By Daphne Milner via It's Nice That | Mainstream conversations around artificial intelligence, while sometimes characterised by a rhetoric of scientific progress, often deal with anxieties related to the tech. Critiquing its shortcomings is not enough, however. Art can help shape the future of artificial intelligence by exposing its limitations and tendencies to further systemic inequalities.
By fph | What if human data is de-humanized? What if technology restricts human agency? This speculative design work and reflection explores the digital culture that might emerge, while serving as a reminder of the necessity for human-machine collaboration.
The Rules of Brainstorming Change When Artificial Intelligence Gets Involved. Here’s How.
By Ben Syverson, IDEO | What happens when you invite GPT-3 to a virtual brainstorm session? A designer/developer at IDEO ran an experiment and wrote about it here!
By Stanford HAI | The AI Index Report tracks, collates, distills, and visualizes data relating to artificial intelligence to develop a deeper understanding of the complex field.
Explainable Artificial Intelligence: a Collection of Critical Essays
By ai-explanations (an ad-hoc feminist collective of digital rights researchers, design thinkers, artists, journalists and social media specialists) | "HOW is AI and digital technology shaping our realities, rights, justice, equality ? What are the harms? How can we counter these harms as individuals, communities, governments? What are we hopeful for and how can we fix or overthrow these systems together?"