We caught ’em!
— Perusall (@Perusall) February 21, 2022
CODED BIAS explores the fallout of MIT Media Lab researcher Joy Buolamwini’s discovery that facial recognition does not see dark-skinned faces accurately, and her journey to push for the first-ever legislation in the U.S. to govern against bias in the algorithms that impact us all.
This looks like an interesting documentary.
Two weeks after her forced exit, the AI ethics researcher reflects on her time at Google and the state of the AI field.
It’s long past time to divest my personal data from Google. Reading this article on holiday reminds me that I’ve got time to start making the necessary changes.
Online event: July 17, 2020 at 08:30AM - 10:00AM
Moxie is an animate companion that promotes social and emotional development through play-based learning. Paolo Pirjanian will show a demo and speak to his journey developing Moxie and his vision for how technology can improve and enhance our lives.
We're at a tipping point of a paradigm shift in the way we will interact with technology. Embodied is aiming to lead this charge through an advanced social interface that respects humans’ natural modes of interaction, beyond simple verbal commands, to enable the next generation of computing, and to power a new class of machines that will change the world around us. Paolo will discuss how he and his team at Embodied are rethinking and reinventing how human-machine interaction is done - starting with the recent announcement of Moxie.
Moxie is an animate companion that helps children build social, emotional, and cognitive skills through everyday play-based learning and engaging content developed in association with experts in child development and education. Embodied has assembled a world class team of experts in engineering, technology, game design, and entertainment to bring to life a robot with machine learning technology that allows it to perceive, process and respond to natural conversation, eye contact, facial expressions and other behavior as well as recognize and recall people, places, and things.
Paolo will speak to his journey developing Moxie and his vision for how technology can improve and enhance our lives.
BIO: Paolo Pirjanian
Paolo Pirjanian is the former CTO of iRobot and early leader in the field of consumer robotics with 16+ years of experience developing and commercializing cutting-edge home robots. He led world-class teams and companies at iRobot®, Evolution Robotics®, and others. In 2016, Paolo founded Embodied, Inc. with the vision to build socially and emotionally intelligent companions that improve care and wellness and enhance our daily lives.
We are used to the availability of big data generated in nearly all fields of science as a consequence of technological progress. However, the analysis of such data possess vast challenges. One of these relates to the explainability of artificial intelligence (AI) or machine learning methods. Currently, many of such methods are non-transparent with respect to their working mechanism and for this reason are called black box models, most notably deep learning methods. However, it has been realized that this constitutes severe problems for a number of fields including the health sciences and criminal justice and arguments have been brought forward in favor of an explainable AI. In this paper, we do not assume the usual perspective presenting explainable AI as it should be, but rather we provide a discussion what explainable AI can be. The difference is that we do not present wishful thinking but reality grounded properties in relation to a scientific theory beyond physics.
Goodbye Information Overload
Keeping up with topics and trends you care about within a sea of articles can be overwhelming and time-consuming.
Filtering out the noise so you can focus on what really matters is a challenge we are deeply passionate about.
Today, we are delighted to announce Leo, your AI research assistant.
This is kind of cool, but I think I’d want more manual control over what I’m reading and seeing and perhaps a separate discovery mode to do this sort of functionality at times.
The fascinating untold story of how the ancients imagined robots and other forms of artificial life—and even invented real automated machines
The first robot to walk the earth was a bronze giant called Talos. This wondrous machine was created not by MIT Robotics Lab, but by Hephaestus, the Greek god of invention. More than 2,500 years ago, long before medieval automata, and centuries before technology made self-moving devices possible, Greek mythology was exploring ideas about creating artificial life—and grappling with still-unresolved ethical concerns about biotechne, “life through craft.” In this compelling, richly illustrated book, Adrienne Mayor tells the fascinating story of how ancient Greek, Roman, Indian, and Chinese myths envisioned artificial life, automata, self-moving devices, and human enhancements—and how these visions relate to and reflect the ancient invention of real animated machines.
As early as Homer, Greeks were imagining robotic servants, animated statues, and even ancient versions of Artificial Intelligence, while in Indian legend, Buddha’s precious relics were defended by robot warriors copied from Greco-Roman designs for real automata. Mythic automata appear in tales about Jason and the Argonauts, Medea, Daedalus, Prometheus, and Pandora, and many of these machines are described as being built with the same materials and methods that human artisans used to make tools and statues. And, indeed, many sophisticated animated devices were actually built in antiquity, reaching a climax with the creation of a host of automata in the ancient city of learning, Alexandria, the original Silicon Valley.
A groundbreaking account of the earliest expressions of the timeless impulse to create artificial life, Gods and Robots reveals how some of today’s most advanced innovations in robotics and AI were foreshadowed in ancient myth—and how science has always been driven by imagination. This is mythology for the age of AI.
The modern world is full of technology, and also with anxiety about technology. We worry about robot uprisings and artificial intelligence taking over, and we contemplate what it would mean for a computer to be conscious or truly human. It should probably come as no surprise that these ideas aren’t new to modern society — they go way back, at least to the stories and mythologies of ancient Greece. Today’s guest, Adrienne Mayor, is a folklorist and historian of science, whose recent work has been on robots and artificial humans in ancient mythology. From the bronze warrior Talos to the evil fembot Pandora, mythology is rife with stories of artificial beings. It’s both fun and useful to think about our contemporary concerns in light of these ancient tales.
Adrienne Mayor is a Research Scholar Classics and History and Philosophy of Science at Stanford University. She is also a Berggruen Fellow at Stanford’s Center for Advanced Study in the Behavioral Sciences. Her work has encompasses fossil traditions in classical antiquity and Native America, the origins of biological weapons, and the historical precursors of the stories of Amazon warriors. In 2009 she was a finalist for the National Book Award.
In HI12 I mentioned Ben Shneiderman’s talk on automation and agency, and he kindly sent me the full draft of the article he is writing on this topic. New to me was the Sheridan-Verplank Scale of Autonomy, which, come on, sounds like something straight out of Blade Runner:
A round table discussion with experts from the entertainment and media industry, followed by a chance to network and interact.
Cahill Center for Astronomy and Astrophysics, 1216 E California Blvd, Pasadena, CA 91125, USA
January 22, 2020 at 07:00PM- January 22, 2020 at 09:00PM
Cross Campus, 85 N. Raymond Avenue, Pasadena, CA, US
January 17, 2020 at 08:15AM- January 17, 2020 at 10:15AM
Artificial Intelligence has the potential to enhance life in ways that we are just beginning to explore. But along with its advantages comes new challenges for ethical system behavior. We must work together to mitigate the risks associated with AI solutions.
Bio: Maria Alvarez
As the General Manager of Shared Engineering Services in the AI + Research division at Microsoft, Maria and her team provide services and programs that support Search, Ads, News, Maps, and Microsoft Research. Maria is a technical leader with over 20 years of experience. Prior to joining Microsoft in 2011, she was promoted through positions at Symantec, HP, CoCreate Software, and Yahoo! She also served as CTO of Panda Security in Spain. Maria has a B.S. in Information Systems and a M.S. in CS from California State Polytechnic University.
Melanie Mitchell & Jim talk about the many approaches to creating AI, hype cycles, self-driving cars, what can be learned from human intelligence, & more!
Fourteen years ago, a dozen geeks gathered around our dining table for Tagsgiving dinner. No, that’s not a typo. In 2005, my husband and I celebrated Thanksgiving as “Tagsgiving,” in honor of the web technology that had given birth to our online community development shop. I invited our guests...
Tagging systems were “folksonomies:” chaotic, self-organizing categorization schemes that grew from the bottom up. ❧
There’s something that just feels so wrong in this article about old school tagging and the blogosphere that has a pullquote meant to encourage one to Tweet the quote. #irony
–December 04, 2019 at 11:03AM
I literally couldn’t remember when I’d last looked at my RSS subscriptions.
On the surface, that might seem like a win: Instead of painstakingly curating my own incoming news, I can effortlessly find an endless supply of interesting, worthwhile content that the algorithm finds for me. The problem, of course, is that the algorithm isn’t neutral: It’s the embodiment of Facebook and Twitter’s technology, data analysis, and most crucial, business model. By relying on the algorithm, instead of on tags and RSS, I’m letting an army of web developers, business strategists, data scientists, and advertisers determine what gets my attention. I’m leaving myself vulnerable to misinformation, and manipulation, and giving up my power of self-determination. ❧
–December 04, 2019 at 11:34AM
You might connect with someone who regularly used the same tags that you did, but that was because they shared your interests, not because they had X thousand followers. ❧
An important and sadly underutilized means of discovery. –December 04, 2019 at 11:35AM
I find it interesting that Alexandra’s Twitter display name is AlexandraSamuel.com while the top of her own website has the apparent title @AlexandraSamuel. I don’t think I’ve seen a crossing up of those two sorts of identities before though it has become more common for people to use their own website name as their Twitter name. Greg McVerry is another example of this.
Thanks to Jeremy Cherfas and Aaron Davis for the links to this piece. I suspect that Dr. Samuel will appreciate that we’re talking about this piece using our own websites and tagging them with our own crazy taxonomies. I’m feeling nostalgic now for the old Technorati…
Alexandra Samuel reflects on tagging and its origins as a backbone to the social web. Along with RSS, tags allowed users to connect and collate content using such tools as feed readers. This all changed with the advent of social media and the algorithmically curated news feed. Samuel wonders if we h...
Alexander Samuel reflects on tagging and its origins as a backbone to the social web. Along with RSS, tags allowed users to connect and collate content using such tools as feed readers. This all changed with the advent of social media and the algorithmically curated news feed. ❧
Tags were used for discovery of specific types of content. Who needs that now that our new overlords of artificial intelligence and algorithmic feeds can tell us what we want to see?!
Of course we still need tags!!! How are you going to know serendipitously that you need more poetry in your life until you run into the tag on a service like IndieWeb.xyz? An algorithmic feed is unlikely to notice–or at least in my decade of living with them I’ve yet to run into poetry in one.
–December 04, 2019 at 10:56AM