With plans to create realistic synthetic embryos, grown in jars, Renewal Bio is on a journey to the horizon of science and ethics.
Online safety and ethics are serious issues and can adversely affect less experienced users. Researchers have built upon familiar human verification techniques to add an element of discrete learning into the process. This way users can learn about online safety and ethics issues while simultaneously verifying they are human. Trials show that users responded positively to the experience and felt they gained something from these microlearning sessions.
The internet is an integral part of modern living, for work, leisure, shopping, keeping touch with people, and more. It’s hard to imagine that anyone could live in an affluent country, such as Japan, and not use the internet relatively often. Yet despite its ubiquity, the internet is far from risk-free. Issues of safety and security are of great concern, especially for those with less exposure to such things. So a team of researchers from the University of Tokyo including Associate Professor Koji Yatani of the Department for Electrical Engineering and Information Systems set out to help.
They call it the holy grail of artificial intelligence research: Building a computer as smart as we are. Some say it could help eradicate poverty and create a more equal society – while others warn that it could become a threat to our very existence. But how far are we from reaching such “artificial general intelligence”? And what happens if machines, at some point, outsmart us?
In this episode of Techtopia, DW Chief Technology Correspondent Janosch Delcker takes a deep dive into the world of AI, meeting a scientist on the quest for human-level intelligence, and digging into the questions awaiting us as humanity inches closer to AGI.
Continue reading “Can artificial intelligence become sentient, or smarter than we are” »
Within minutes of the final heartbeat, a cascade of biochemical events triggered by a lack of blood flow, oxygen, and nutrients begins to destroy a body’s cells and organs. But a team of Yale scientists has found that massive and permanent cellular failure doesn’t have to happen so quickly.
The researchers stressed that additional studies are necessary to understand the apparently restored motor functions in the animals, and that rigorous ethical review from other scientists and bioethicists is required.
The experimental protocols for the latest study were approved by Yale’s Institutional Animal Care and Use Committee and guided by an external advisory and ethics committee.
Continue reading “Yale-developed technology restores cell, organ function in pigs after death” »
War is changing. As drones replace snipers, we must consider the ethics of autonomous weapons making life or death decisions.
By Natasha Vita-More.
Has the technological singularity in 2019 changed since the late 1990s?
As a theoretical concept it has become more recognized. As a potential threat, it is significantly written about and talked about. Because the field of narrow AI is growing and machine learning has found a place in academics and entrepreneurs are investing in the growth of AI, tech leaders have come to the table and voiced their concerns, especially Bill Gates, Elon Musk, and the late Stephen Hawking. The concept of existential risk has taken a central position within the discussions about AI and machine ethicists are prepping their arguments toward a consensus that near-future robots will force us to rethink the exponential advances in the fields of robotics and computer science. Here it is crucial for those leaders in philosophy and ethics to address the concept of what an ethical machine means and the true goal of machine ethics.
Can the sum of knowledge and experience we’ve accumulated over a lifetime live on after we die? The concept of “mind-uploading” is a modern version of an age-old human dream. Transhumanism hopes to not only enhance human capacities but even transcend human limitations such as bodily death.
The main character of Oscar Wilde’s famous novel The Picture of Dorian Gray wishes for eternal youth. And his wish is fulfilled: Dorian Gray remains young and exquisitely beautiful, whereas his portrait grows old, bearing the burden of aging, human shortcomings and imperfections. As we know, the story ended badly for Dorian.
In our time, scientific discoveries and new technologies promise to bring us closer to his dream. And no deal with the Devil is needed for doing so: once we understand how to manipulate the building blocks of life as well as the material foundations of our consciousness, emotions and character traits, so the story goes, we will be able to broaden human nature and overcome its inherent limitations such as aging, suffering and cognitive, emotional and moral shortcomings.
There may be some very compelling tools and platforms that promise fair and balanced AI, but tools and platforms alone won’t deliver ethical AI solutions, says Reid Blackman, who provides avenues to overcome thorny AI ethics issues in his upcoming book, Ethical Machines: Your Concise Guide to Totally Unbiased, Transparent and Respectful AI (Harvard Business Review Press). He provides ethics advice to developers working with AI because, in his own words, “tools are efficiently and effectively wielded when their users are equipped with the requisite knowledge, concepts, and training.” To that end, Blackman provides some of the insights development and IT teams need to have to deliver ethical AI.
Don’t worry about dredging up your Philosophy 101 class notes
Considering prevailing ethical and moral theories and applying them to AI work “is a terrible way to build ethically sound AI,” Blackman says. Instead, work collaboratively with teams on practical approaches. “What matters for the case at hand is what [your team members] think is an ethical risk that needs to be mitigated and then you can get to work collaboratively identifying and executing on risk-mitigation strategies.”
Axon has paused work on a project to build drones equipped with its Tasers. A majority of its artificial intelligence ethics board quit after the plan was announced last week.
Nine of the 12 members said in a resignation letter that, just a few weeks ago, the board voted 8–4 to recommend that Axon shouldn’t move forward with a pilot study for a Taser-equipped drone concept. “In that limited conception, the Taser-equipped drone was to be used only in situations in which it might avoid a police officer using a firearm, thereby potentially saving a life,” the nine board members wrote. They noted Axon might decline to follow that recommendation and were working on a report regarding measures the company should have in place were it to move forward.
The nine individuals said they were blindsided by an announcement from the company last Thursday — nine days after 19 elementary school students and two teachers were killed in a mass shooting in Uvalde, Texas — about starting development of such a drone. It had an aim of “incapacitating an active shooter in less than 60 seconds.” Axon said it “asked the board to re-engage and consider issuing further guidance and feedback on this capability.”
