This year, Nature asked 480 researchers around the world who work in facial recognition, computer vision and artificial intelligence (AI) for their views on thorny ethical questions about facial-recognition research. The results of this first-of-a-kind survey suggest that some scientists are concerned about the ethics of work in this field — but others still don’t see academic studies as problematic.
Journals and researchers are under fire for controversial studies using this technology. And a Nature survey reveals that many researchers in this field think there is a problem.
There are ways that a robot companion could outperform humans, Jecker says, by providing sympathetic and patient support free of judgment and condescension around the clock.
“It relates to issues of dignity,” Jecker told the Times. “The ability to be sexual at any age relates to your ability to have a life. Not just to survive, but to have a life, and do things that have value. Relationships. Bodily integrity. These things are a matter of dignity.”
It has been really fun talking to the kids about AI. Should we help AI consciousness to emerge — or should we try to prevent it? Can you design a kindest AI? Can we use AI as an universal emotion translator? How to search for an AI civilization? And many many other questions that you can discuss with kids.
Ultimately, early introduction of AI is not limited to formal instruction. Just contemplating future scenarios of AI evolution provides plentiful material for engaging students with the subject. A survey on the future of AI, administered by the Future of Life Institute, is a great starting point for such discussions. Social studies classes, as well as school debate and philosophy clubs, could also launch a dialogue on AI ethics – an AI nurse selecting a medicine, an AI judge deciding on a criminal case, or an AI driverless car switching lanes to avoid collision.
Demystifying AI for our children in all its complexity while providing them with an early insight into its promises and perils will make them confident in their ability to understand and control this incredible technology, as it is bound to develop rapidly within their lifetimes.
Many Machine Learning and AI algorithms are centralized, with no transparency in the process. Now a blockchain-based start-up aims to improve transparency bias in business workflows.
In a recent study of the upper atmosphere of Venus, finding the chemical fingerprint of phosphine has led to speculation that it may be tied to airborne life high in the clouds of our sister planet [1]. We harbour similar suspicion of microbial life on Mars [2], Saturn’s moon Enceledus [3], and Europa, the icy Galilean of the Jovian system [4]. The dwarf planet Ceres of the asteroid belt could be added to that list also, with recent evidence of oceanic water [5], while more exotic variations of life may exist on Titan, which is known to be teeming with organic materials [6]. Should we be more wary of our Solar System as an environment to explore, and the potential of pathogens we may encounter?
If one rewinds 500 years, to when exploration of new worlds involved sailing the oceans, the discovery of the Americas introduced viruses which decimated the native population at that time [7]. That in itself was far from a unique event in history, of course. There have been many occurrences throughout history where travel between distant lands has resulted in the introduction of devastating plagues to one population or the other — not least the Black Death, which arrived in Europe from commercial travel with Asia in the 1300s [8]. Meanwhile, 2020 has reminded us how a novel virus can prove virtually unstoppable from spreading worldwide in a matter of months and reaching pandemic level, once introduced to our now interconnected world [9].
Indeed when the first astronauts returned from the Moon in the 60s, they had to undergo weeks of quarantine as a precaution against introducing a lunar pathogen to Earth [10]. We now know the Moon to be a sterile world, but this should not give us a false sense of security when visiting and returning from other worlds, which are far more likely to harbour microbial life. It is quite plausible to consider that any microbes which have evolved to survive in the harsh environments on other worlds could multiply out of control if introduced to a more fertile environment on Earth. The likelihood of any such foreign microbes being capable of becoming infectious pathogens to our species is difficult to measure, but one could still cause problems regardless, by undermining Earth’s ecosystem in competing with native microbial life as a runaway invasive species.
Fortunately, due to the vast distances involved in inter-planetary travel, returning astronauts would likely show symptoms of infection from any dangerous pathogen long before reaching home, as such a journey would be expected to take many months, even with more advanced propulsion technology than we use in space travel today. That is not to say they could not inadvertently return with microbial life on board — or even on the exterior of craft: Earth’s tardigrades, for example, have proven quite durable in journeys into outer space [11].
Every time we talk to Alexa, Siri, Google, or Cortana, we are building the brains of the robot. Human machine relationships increase and robot ethics are needed for the coming age of automation, they are simply not adequate for the nuanced capabilities and behaviors we are beginning to see in today’s devices.
According to a press release, the New Shepard will fly 12 commercial payloads to space and back, including a demonstration of a lunar landing sensor that will test technologies for future missions to the Moon in support of NASA’s Artemis program.
The two companies are already entwined through OpenAI’s ongoing Azure cloud computing contract, with Azure being the platform on which OpenAI accesses the vast computing resources it needs to train many of its models, and a major $1 billion investment Microsoft made last year to become OpenAI’s exclusive cloud provider. Now, Microsoft is issuing yet another signal of high confidence in OpenAI’s research by acquiring the rights to GPT-3.
Medical Ethics and “Futility” (Note: Listen here function)
We breathe about 12 to 20 times a minute, without having to think. Inhale: and air flows through the mouth and nose, into the trachea. The bronchi stem out like a wishbone, and keep branching, dividing and dividing, and finally feeding out into the tiny air sacs of alveoli. Capillaries – blood vessels thinner than hairs – twine around each alveolus. Both the air sac and the blood vessel are tiny, delicate, one cell thick: portals where blood (the atmosphere of the body) meets air (atmosphere of the world). Oxygen passes from air to blood; carbon dioxide, from blood to air. Then, the exhale pushes that carbon dioxide back out the mouth and nose. Capillaries channel newly oxygenated blood back to the heart. That oxygen fuels the body. That’s why we breathe.
Today, these basics of human respiration and metabolism feel obvious – and ventilators, the machines that breathe for sick people, do, too. We have so many medical devices, so of course we’d need, and have, machines that help us to breathe. But there’s a strange, and deeply human, story behind how we learned to breathe for each other. It starts long ago, when we didn’t understand breathing at all. When the body’s failure to breathe was incomprehensible, incurable, and fatal. When we had no way of knowing how badly we needed ventilators to keep people alive through those moments of vulnerability, lest those moments be their last.
