Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI – Page 1,231

This book explores the psychological impact of advanced forms of artificial intelligence. How will it be to live with a superior intelligence? How will the exposure to highly developed artificial intelligence (AI) systems change human well-being? With a review of recent advancements in brain–computer interfaces, military AI, Explainable AI (XAI) and digital clones as a foundation, the experience of living with a hyperintelligence is discussed from the viewpoint of a clinical psychologist. The theory of universal solicitation is introduced, i.e. the demand character of a technology that wants to be used in all aspects of life. With a focus on human experience, and to a lesser extent on technology, the book is written for a general readership with an interest in psychology, technology and the future of our human condition. With its unique focus on psychological topics, the book offers contributions to a discussion on the future of human life beyond purely technological considerations.

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An interdisciplinary team of researchers has developed a blueprint for creating algorithms that more effectively incorporate ethical guidelines into artificial intelligence (AI) decision-making programs. The project was focused specifically on technologies in which humans interact with AI programs, such as virtual assistants or “carebots” used in healthcare settings.

“Technologies like carebots are supposed to help ensure the safety and comfort of hospital patients, and other people who require health monitoring or physical assistance,” says Veljko Dubljević, corresponding author of a paper on the work and an associate professor in the Science, Technology & Society program at North Carolina State University. “In practical terms, this means these technologies will be placed in situations where they need to make ethical judgments.”

“For example, let’s say that a carebot is in a setting where two people require medical assistance. One patient is unconscious but requires urgent care, while the second patient is in less urgent need but demands that the carebot treat him first. How does the carebot decide which patient is assisted first? Should the carebot even treat a patient who is unconscious and therefore unable to consent to receiving the treatment?”

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The Biden administration unveiled a set of far-reaching goals Tuesday aimed at averting harms caused by the rise of artificial intelligence systems, including guidelines for how to protect people’s personal data and limit surveillance.

The Blueprint for an AI Bill of Rights notably does not set out specific enforcement actions, but instead is intended as a White House call to action for the U.S. government to safeguard digital and civil rights in an AI-fueled world, officials said.

“This is the Biden-Harris administration really saying that we need to work together, not only just across government, but across all sectors, to really put equity at the center and civil rights at the center of the ways that we make and use and govern technologies,” said Alondra Nelson, deputy director for science and society at the White House Office of Science and Technology Policy. “We can and should expect better and demand better from our technologies.”

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Moving towards Artificial General Intelligence?

Contact:

The following are available for interview:

Kyrtin Atreides — Norn COO and co-inventor.

David J Kelley — Norn founder and originator.

Frits Israel — Norn CEO

To see the system “thinking” live, interview the Norn creators, or CEO, please contact:

Continue reading “AGI Laboratory moving towards artificial general intelligence?” | >

Summary: A new artificial intelligence model automatically learns higher-level language patterns that can apply to different languages, enabling it to achieve better results.

Source: McGill University.

Human languages are notoriously complex, and linguists have long thought it would be impossible to teach a machine how to analyze speech sounds and word structures in the way humans do.

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Humanoid artificial intelligence is coming and there’s a good chance it may come to life in Vancouver.

That’s because some of the brains at work creating AI – human-like AI – live and work here. The odds that they will succeed are high, they have an amazing track record. One of those brains is the mastermind behind the development of quantum computing that has manifested itself into the company known as D-Wave.

At the core of the development on humanoid AI sits an existential question: what does it mean to be human? What motivates us, how do we decide right from wrong and whose morals constitute the foundation of the programming of the machine that will self-learn? These are just a few of the questions that surround what many believe will be the last great human discovery.

We invited Geordie Rose of Sanctuary AI to join us for a Conversation That Matters about artificial intelligence – why, what, when, where and how soon.

Simon Fraser University’s Centre for Dialogue presents Conversations That Matter. Join veteran broadcaster Stuart McNish each week for an important and engaging Conversation about the issues shaping our future.

Please become a Patreon subscriber and support the production of this program, with a $1 pledge https://goo.gl/ypXyDs ctm242 #artificialintelligence #robotics #automation

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Live biological neurons show more about how a brain works than AI ever will.

Scientists have shown for the first time that 800,000 brain cells living in a dish can perform goal-directed tasks. In this case, they played the simple tennis-like computer game, Pong. The results of the Melbourne-led study are published today (October 12) in the journal Neuron.

Now the researchers are going to investigate what happens when their DishBrain is affected by medicines and alcohol.

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An artificial intelligence created by the firm DeepMind has discovered a new way to multiply numbers, the first such advance in over 50 years. The find could boost some computation speeds by up to 20 per cent, as a range of software relies on carrying out the task at great scale.

Matrix multiplication – where two grids of numbers are multiplied together – is a fundamental computing task used in virtually all software to some extent, but particularly so in graphics, AI and scientific simulations. Even a small improvement in the efficiency of these algorithms could bring large performance gains, or significant energy savings.

The biggest number in the world Agnijo Banerjee at New Scientist Live this October.

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UW Medicine researchers have found that algorithms are as good as trained human evaluators at identifying red-flag language in text messages from people with serious mental illness. This opens a promising area of study that could help with psychiatry training and scarcity of care.

The findings were published in late September in the journal Psychiatric Services.

Text messages are increasingly part of mental health care and evaluation, but these remote psychiatric interventions can lack the emotional reference points that therapists use to navigate in-person conversations with patients.

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