Quantifications are produced by several disciplinary houses in a myriad of different styles. The concerns about unethical use of algorithms, unintended consequences of metrics, as well as the warning about statistical and mathematical malpractices are all part of a general malaise, symptoms of our tight addiction to quantification. What problems are shared by all these instances of quantification? After reviewing existing concerns about different domains, the present perspective article illustrates the need and the urgency for an encompassing ethics of quantification. The difficulties to discipline the existing regime of numerification are addressed; obstacles and lock-ins are identified. Finally, indications for policies for different actors are suggested.
Category: ethics – Page 40
We can’t evolve faster than our language does. Evolution is a linguistic, code-theoretic process. Do yourself a humongous favor, look over these 33 transhumanist neologisms. Here’s a fairly comprehensive glossary of thirty three newly-introduced concepts and terms from “The Syntellect Hypothesis: Five Paradigms of the Mind’s Evolution” by futurist, philosopher and evolutionary cyberneticist Alex M. Vikoulov. In parts written as an academic paper, in parts as a belletristic masterpiece, this recent book is an exceptionally easy read for an intellectual reader — a philosophical treatise that is fine-tuned with apt neologisms readily explained by given definitions and contextually… https://medium.com/@alexvikoulov/33-crucial-terms-every-futu…a1c8b993c8
#evolution #consciousness #futurism #transhumanism #philosophy
“A powerful work! As a transhumanist, I especially loved one of the main ideas of the book that the Syntellect Emergence, merging of us into one Global Mind, constitutes the quintessence of the coming Technological Singularity. The novel conceptual visions of mind-uploading and achieving digital immortality are equally fascinating. The Chrysalis Conjecture as a solution to the Fermi Paradox is mind-bending. I would highly recommend The Syntellect Hypothesis to anyone with transhumanist aspirations and exponential thinking!” -Zoltan Istvan, futurist, author, founder of the U.S. Transhumanist Party
Terms such as ‘Artificial Intelligence’ or ‘Neurotechnology’ were new some time not so long ago. We can’t evolve faster than our language does. Evolution is a linguistic, code-theoretic process. Do yourself a humongous favor, look over these 33 transhumanist neologisms. Here’s a fairly comprehensive glossary of thirty three newly-introduced concepts and terms from “The Syntellect Hypothesis: Five Paradigms of the Mind’s Evolution” by futurist, philosopher and evolutionary cyberneticist Alex M. Vikoulov. In parts written as an academic paper, in parts as a belletristic masterpiece, this recent book is an exceptionally easy read for an intellectual reader — a philosophical treatise that is fine-tuned with apt neologisms readily explained by given definitions and contextually:
AGI Naturalization Protocol, AGI(NP) — initiating AGI (Artificial General Intelligence) via human life simulation training program, infusing AGI with a value system, ethics, morality and generally civilized manners to ensure functioning in the best interests of society as a self-aware agent. Read more: http://www.ecstadelic.net/top-stories/how-to-create-friendly…-explosion #AGINaturalizationProtocol #AGINP
The Ogba Educational Clinic is pioneering ethics in Digital technology in Africa.
The federal government’s cyber plan is long on action points but short on any organising principles. This is worrying.
On March 11, 2011, a 9.1-magnitude earthquake triggered a powerful tsunami, generating waves higher than 125 feet that ravaged the coast of Japan, particularly the Tohoku region of Honshu, the largest and most populous island in the country.nnNearly 16,000 people were killed, hundreds of thousands displaced, and millions left without electricity and water. Railways and roads were destroyed, and 383,000 buildings damaged—including a nuclear power plant that suffered a meltdown of three reactors, prompting widespread evacuations.nnIn lessons for today’s businesses deeply hit by pandemic and seismic culture shifts, it’s important to recognize that many of the Japanese companies in the Tohoku region continue to operate today, despite facing serious financial setbacks from the disaster. How did these businesses manage not only to survive, but thrive?nnOne reason, says Harvard Business School professor Hirotaka Takeuchi, was their dedication to responding to the needs of employees and the community first, all with the moral purpose of serving the common good. Less important for these companies, he says, was pursuing layoffs and other cost-cutting measures in the face of a crippled economy.nn
As demonstrated after the 2011 earthquake and tsunami, Japanese businesses have a unique capability for long-term survival. Hirotaka Takeuchi explains their strategy of investing in community over profits during turbulent times.
Nearly 200 covid-19 vaccines are in development and some three dozen are at various stages of human testing. But in what appears to be the first “citizen science” vaccine initiative, Estep and at least 20 other researchers, technologists, or science enthusiasts, many connected to Harvard University and MIT, have volunteered as lab rats for a do-it-yourself inoculation against the coronavirus. They say it’s their only chance to become immune without waiting a year or more for a vaccine to be formally approved.
Preston Estep was alone in a borrowed laboratory, somewhere in Boston. No big company, no board meetings, no billion-dollar payout from Operation Warp Speed, the US government’s covid-19 vaccine funding program. No animal data. No ethics approval.
What he did have: ingredients for a vaccine. And one willing volunteer.
Estep swirled together the mixture and spritzed it up his nose.
The U.S. intelligence community (IC) on Thursday rolled out an “ethics guide” and framework for how intelligence agencies can responsibly develop and use artificial intelligence (AI) technologies.
Among the key ethical requirements were shoring up security, respecting human dignity through complying with existing civil rights and privacy laws, rooting out bias to ensure AI use is “objective and equitable,” and ensuring human judgement is incorporated into AI development and use.
The IC wrote in the framework, which digs into the details of the ethics guide, that it was intended to ensure that use of AI technologies matches “the Intelligence Community’s unique mission purposes, authorities, and responsibilities for collecting and using data and AI outputs.”
A new study has explored whether AI can provide more attractive answers to humanity’s most profound questions than history’s most influential thinkers.
Researchers from the University of New South Wales first fed a series of moral questions to Salesforce’s CTRL system, a text generator trained on millions of documents and websites, including all of Wikipedia. They added its responses to a collection of reflections from the likes of Plato, Jesus Christ, and, err, Elon Musk.
The team then asked more than 1,000 people which musings they liked best — and whether they could identify the source of the quotes.
For years, Brent Hecht, an associate professor at Northwestern University who studies AI ethics, felt like a voice crying in the wilderness. When he entered the field in 2008, “I recall just agonizing about how to get people to understand and be interested and get a sense of how powerful some of the risks [of AI research] could be,” he says.
To be sure, Hecht wasn’t—and isn’t—the only academic studying the societal impacts of AI. But the group is small. “In terms of responsible AI, it is a sideshow for most institutions,” Hecht says. But in the past few years, that has begun to change. The urgency of AI’s ethical reckoning has only increased since Minneapolis police killed George Floyd, shining a light on AI’s role in discriminatory police surveillance.
This year, for the first time, major AI conferences—the gatekeepers for publishing research—are forcing computer scientists to think about those consequences.
In the span of 72 hours, both IBM and Amazon backed out of the facial recognition business this week.
It’s a chess match on the geopolitical playing board, with AI ethics and data bias in play.
But as millions of animals continue to be used in biomedical research each year, and new legislation calls on federal agencies to reduce and justify their animal use, some have begun to argue that it’s time to replace the three Rs themselves. “It was an important advance in animal research ethics, but it’s no longer enough,” Tom Beauchamp told attendees last week at a lab animal conference.
Science talks with two experts in animal ethics who want to go beyond the three Rs.