human nature


Benefits, risks and human nature: managing the Artificial Intelligence revolution – The Brussels Times – IAM Network

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It was a medical scoop for the Benelux countries. Anaesthetists at the UZ Brussels hospital made use of new artificial intelligence (AI) technology during an.


Benefits, risks and human nature: managing the Artificial Intelligence revolution

#artificialintelligence

It was a medical scoop for the Benelux countries. Anaesthetists at the UZ Brussels hospital made use of new artificial intelligence (AI) technology during an operation. An algorithm, developed by an American supercomputer, analyses all sorts of parameters and predicts a drop in blood pressure, fifteen minutes before the event possibly occurs. The new technology is a telling example of how artificial intelligence can be a priceless asset in healthcare and medicine. AI might become as significant to the 21st century, as was the Industrial Revolution to the 19th century.


Escaping the State of Nature: A Hobbesian Approach to Cooperation in Multi-agent Reinforcement Learning

arXiv.org Artificial Intelligence

Cooperation is a phenomenon that has been widely studied across many different disciplines. In the field of computer science, the modularity and robustness of multi-agent systems offer significant practical advantages over individual machines. At the same time, agents using standard reinforcement learning algorithms often fail to achieve long-term, cooperative strategies in unstable environments when there are short-term incentives to defect. Political philosophy, on the other hand, studies the evolution of cooperation in humans who face similar incentives to act individualistically, but nevertheless succeed in forming societies. Thomas Hobbes in Leviathan provides the classic analysis of the transition from a pre-social State of Nature, where consistent defection results in a constant state of war, to stable political community through the institution of an absolute Sovereign. This thesis argues that Hobbes's natural and moral philosophy are strikingly applicable to artificially intelligent agents and aims to show that his political solutions are experimentally successful in producing cooperation among modified Q-Learning agents. Cooperative play is achieved in a novel Sequential Social Dilemma called the Civilization Game, which models the State of Nature by introducing the Hobbesian mechanisms of opponent learning awareness and majoritarian voting, leading to the establishment of a Sovereign.


A Wearable May Save Your Life, Thanks to AI and Big Data Digital Trends

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You know that 1958 Norman Rockwell painting, Before the Shot? A boy bends over, preparing for a needle, while a friendly older doctor leans over vials and tongue depressors, prepping the injection. I was at my primary care physician's office recently -- no shots, thankfully, but I was struck by how little things have changed since then, and how the entire medical industry has struggled with technological change. ECGs are something people get once a year at best; what if you could have that data not just on a daily basis but continuously? Visit your doctor and you'll likely fill out a paper form stating that your health insurance hasn't changed.


Human Rights without humans: The final line between artificial and superhuman intelligences

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Human intelligence precedes civilization; artificial and superhuman intelligences, however, will redefine it. Current research in artificial general intelligence (AGI) and intelligence enhancement (IE) seek to remove human error from their most ambitious technological quests. On the one hand, using evolutionary algorithms, AGI aims to develop a fully automated, increasingly independent, gradually cognitive, and eventually conscious artificial being. On the other hand, using neurotechnology, IE intends to create a super-intelligent and inherently different human being capable to counteract the inexorable ascension of machines in the next few years. But what is the limit of such scientific enterprises?


Can the UAE's excitement for artificial intelligence overcome human nature?

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For those lucky enough to get in, the UAE AI Summer Camp that starts on Sunday and runs through the summer may well prove a transformative experience. Funded by the Ministry of State for Artificial Intelligence Office and with speakers from the likes of Microsoft and IBM, and aimed at school and university students and government executives, the Camp sold out in 24 hrs - and small wonder. Attendees will get access to cutting-edge tech and be able to build systems like AI chatbots that converse with humans. As someone who began working on AI systems more than 25 years ago, I understand the excitement of getting computers to mimic brain-like abilities, however crudely. But I also know that AI enthusiasts are prone to overlooking the single biggest obstacle to the adoption of the technology: human nature.


Algorithms are Watching: How Machines Learn

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Machine Learning algorithms are everywhere. They're helping you pick out your next gift on Amazon, controlling what you find on Google, they're suggesting new music for you on Spotify, and they're doing their best to keep you on their website. When trying to explain how machines learn we tend to try and describe it in human terms. Unfortunately (or fortunately) machine learning isn't based on how we teach humans. The video is a bit simple in its explanations, but it describes some important concepts.


An Artificially Intelligent Baby could Unlock the Secrets of Human Nature

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BabyX, the virtual, artificially intelligent creation of Mark Sagar and his new company, Soul Machines Ltd., looks, sounds, and acts so much like a real baby that interacting with her produces a genuine emotional response -- just like the kind you get when a real baby coos and giggles at you. That's exactly the point: BabyX makes it appealing to humans to interact with an AI, and each instance of interaction teaches her more about what it's like being human.


An artificially intelligent baby could unlock the secrets of human nature

#artificialintelligence

BabyX, the virtual, artificially intelligent creation of Mark Sagar and his new company, Soul Machines Ltd., looks, sounds, and acts so much like a real baby that interacting with her produces a genuine emotional response -- just like the kind you get when a real baby coos and giggles at you. That's exactly the point: BabyX makes it appealing to humans to interact with an AI, and each instance of interaction teaches her more about what it's like being human. Sagar is a force for the humanization of AI, which he believes may be important to installing a symbiotic relationship between humans and AIs. Many AI experts argue that robots and AI systems can only realize their full potential if they become more like humans, with emotions and memories informing their behavior and decision; those are the things that motivate us to seek out new experiences. Sagar's techniques in this area are radically innovative, in that his detailed, artistically-rendered faces mask biological models and simulations of unprecedented complexity.


AI's biggest challenge is human, not technological.

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People often ask me whether AI really works yet -- is it as smart as AI companies paint it to be, how much is automation versus AI? The questions point to the technological hurdles gating AI being effective. However, we often overlook a far tougher challenge in giving life to AI: understanding human behavior. In my time as VP of Product at Mezi, we constantly made our AI smarter, less breakable, and able to recognize more inputs. But at the core of the user's AI experience was a set of human values we defined manually upfront.