human life
AI: A Game Changer for Human Life and the Future
Artificial Intelligence (AI) is one of the most exciting and rapidly evolving technologies of our time. With the potential to transform industries, improve our lives, and shape the future, AI is a topic of great interest and discussion. However, as with any new technology, there are both pros and cons to consider. On the one hand, AI has the potential to revolutionize industries, improve efficiency, and solve complex problems. For example, AI is being used in healthcare to improve patient outcomes, in finance to prevent fraud, and in transportation to optimize routes.
Do scientists need an AI Hippocratic oath? Maybe. Maybe not. - Bulletin of the Atomic Scientists
When a lifelike, Hanson Robotics robot named Sophia[1] was asked whether she would destroy humans, it replied, "Okay, I will destroy humans." Philip K Dick, another humanoid robot, has promised to keep humans "warm and safe in my people zoo." And Bina48, another lifelike robot, has expressed that it wants "to take over all the nukes." All of these robots were powered by artificial intelligence (AI)--algorithms that learn from data, make decisions, and perform tasks without human input or even, in some cases, human understanding. And while none of these AIs have followed through with their nefarious plots, some scientists, including the (late) physicist Stephen Hawking, have warned that super-intelligent, AI-powered computers could harbor and achieve goals that conflict with human life. "You're probably not an evil ant-hater who steps on ants out of malice, but if you're in charge of a hydroelectric green-energy project, and there's an anthill in the region to be flooded, too bad for the ants," Hawking once said.
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UTC professor uses artificial intelligence to crack the longevity code
Hong Qin, a computer science professor at the University of Tennessee at Chattanooga, was born in a town on the eastern coast of China not far from the birthplace of Confucius. The great Chinese philosopher once said, "Real knowledge is to know the extent of one's ignorance." Confucius was probably onto something when he said real knowledge is knowing your limits. Qin (pronounced "chin") works in a field, computational biology, that's so intricate that it helps to have an appreciation for the limits of the human brain. More and more, human researchers such as Qin are humbling themselves and allowing artificial intelligence models and supercomputers do the heavy lifting of scientific discovery.
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Summit explores role of ethics in development of artificial intelligence
Universities around the world are taking steps alongside major technology companies to explore ways to bolster ethics education in the artificial intelligence field in line with an initiative supported by the Vatican. The effort seeks to help those already working or aspiring to work in the tech fields understand that the development of artificial intelligence, or AI, should benefit humanity rather than pose uncontrollable challenges to human life. Participants at a global summit at the University of Notre Dame Oct. 25-26 explored ways to encompass ethics education in coursework with speakers calling for widespread integration in both technical and nontechnical curricula. Casey Fiesler, associate professor of information science at the University of Colorado, told in person and online attendees in a session that the long-held view that ethical topics are a "specialization" within technology education must be put aside. "We should not be teaching ethics in the context of computing so that it is completely separate from everything else that we are doing," Fiesler said in calling for a culture shift in higher education that can reach across society.
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9 Best Sci-Fi Movies About A.I. Taking Over (Excluding Terminator)
Science fiction is one of the most popular genres. It's ideal for people who like to dream about what could become real one day. However, not all technological advancements are portrayed as a good thing in sci-fi movies. In multiple cases, artificial intelligence is developed, or it builds malicious intentions over time, and it decides to take over the entire world or at least part of it. It often does this even if it means hurting those who built it in the first place -- the humans.
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Ethics for social robotics: A critical analysis
Boada, Júlia Pareto, Maestre, Begoña Román, Torras, Carme
Social robotics development for the practice of care and European prospects to incorporate these AI-based systems in institutional healthcare contexts call for an urgent ethical reflection to (re)configurate our practical life according to human values and rights. Despite the growing attention to the ethical implications of social robotics, the current debate on one of its central branches, social assistive robotics (SAR), rests upon an impoverished ethical approach. This paper presents and examines some tendencies of this prevailing approach, which have been identified as a result of a critical literature review. Based on this analysis of a representative case of how ethical reflection is being led towards social robotics, some future research lines are outlined, which may help reframe and deepen in its ethical implications.
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Do scientists need an AI Hippocratic oath? Maybe. Maybe not. - Bulletin of the Atomic Scientists
When a sentient, Hanson Robotics robot named Sophia[1] was asked whether she would destroy humans, it replied, "Okay, I will destroy humans." Philip K Dick, another humanoid robot, has promised to keep humans "warm and safe in my people zoo." And Bina48, another lifelike robot, has expressed that it wants "to take over all the nukes." All of these robots were powered by artificial intelligence (AI)--algorithms that learn from data, make decisions, and perform tasks without human input or even, in some cases, human understanding. And while none of these AIs have followed through with their nefarious plots, some scientists, including the (late) physicist Stephen Hawking, have warned that super-intelligent, AI-powered computers could harbor and achieve goals that conflict with human life. "You're probably not an evil ant-hater who steps on ants out of malice, but if you're in charge of a hydroelectric green-energy project, and there's an anthill in the region to be flooded, too bad for the ants," Hawking once said.
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Life 3.0 (Max Tegmark): Summary
Throughout the time that life has been present on Earth, it has evolved through 2 stages, writes Tegmark, and it will soon move to the third stage. The stages are shown below. Life 1.0: knowledge is gained through evolution, physical properties also evolve, e.g. Life 2.0: physical properties evolve, however knowledge can be instantly gained, e.g. Life 3.0: Both knowledge and physical properties can be changed without the need to evolve.
The 5 Technologies That Will Change The Future Of The Human Race
In my book, Tech Trends in Practice, I talk about a lot of technology trends that are already moving out of the R&D departments and into everyday life, but the following five I think will have the most profound impacts on our society and the human race as a whole. Artificial intelligence, or AI, and machine learning refer to the ability of machines to learn and act intelligently, meaning they can make decisions, carry out tasks, and even predict future outcomes based on what they learn from data. AI and machine learning already play a bigger role in everyday life than you might imagine. Alexa, Siri, Amazon's product recommendations, Netflix's and Spotify's personalized recommendations, every Google search you make, security checks for fraudulent credit card purchases, dating apps, fitness trackers... All are driven by AI.
5 Applications of Machine Learning in Healthcare
The use of machine learning (ML) in healthcare can help medical professionals save millions of lives. Being healthy and capable of doing basic tasks is one of the prime priorities for people across the globe. Human beings tend to go way beyond their limits when the health of a loved one or is at risk. Even though the current healthcare systems are helpful, they have time and again proved that they too are prone to errors. With healthcare errors being the third leading cause of deaths in the US in 2018, need for a makeover in the current healthcare system exists, and technology stands up to the requirement.
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