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AI Principles - Future of Life Institute

AI Principles - Future of Life Institute | Futurewaves | Scoop.it

Artificial intelligence has already provided beneficial tools that are used every day by people around the world. Its continued development, guided by the following 23 principles, will offer amazing opportunities to help and empower people in the decades and centuries ahead. 

Research Issues

1) Research Goal: The goal of AI research should be to create not undirected intelligence, but beneficial intelligence.
2) Research Funding: Investments in AI should be accompanied by funding for research on ensuring its beneficial use, including thorny questions in computer science, economics, law, ethics, and social studies, such as:

How can we make future AI systems highly robust, so that they do what we want without malfunctioning or getting hacked?
How can we grow our prosperity through automation while maintaining people’s resources and purpose?
How can we update our legal systems to be more fair and efficient, to keep pace with AI, and to manage the risks associated with AI?
What set of values should AI be aligned with, and what legal and ethical status should it have?
3) Science-Policy Link: There should be constructive and healthy exchange between AI researchers and policy-makers.

4) Research Culture: A culture of cooperation, trust, and transparency should be fostered among researchers and developers of AI.

5) Race Avoidance: Teams developing AI systems should actively cooperate to avoid corner-cutting on safety standard.


Read the other 18 principles

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The New Rules of Robot/Human Society

As technology speeds forward, humans are beginning to imagine the day when robots will fill the roles promised to us in science fiction. But what should we be thinking about today, as robots like military and delivery drones become a real part of our society? How should robots be programmed to interact with us? How should we treat robots? And who is responsible for a robot's actions? As we look at the unexpected impact of new technologies, we are obligated as a society to consider the moral and ethical implications of robotics.


Via Szabolcs Kósa
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The moral dilemmas of the Fourth Industrial Revolution

The moral dilemmas of the Fourth Industrial Revolution | Futurewaves | Scoop.it

Should your driverless car value your life over a pedestrian's? Should your Fitbit activity be used against you in a court case? Should we allow drones to become the new paparazzi? Can one patent a human gene?

Scientists are already struggling with such dilemmas. As we enter the new machine age, we need a new set of codified morals to become the global norm. We should put as much emphasis on ethics as we put on fashionable terms like disruption.

This is starting to happen. Last year, America's Carnegie Mellon University announced a new centre studying the Ethics of Artificial Intelligence; under President Obama, the White House published a paper on the same topic; and tech giants including Facebook and Google have announced a partnership to draw up an ethical framework for AI. Both the risks and the opportunities are vast: Stephen Hawking, Elon Musk and other experts signed an open letter calling for efforts to ensure AI is beneficial to society:

"The potential benefits are huge, since everything that civilization has to offer is a product of human intelligence; we cannot predict what we might achieve when this intelligence is magnified by the tools AI may provide, but the eradication of disease and poverty are not unfathomable. Because of the great potential of AI, it is important to research how to reap its benefits while avoiding potential pitfalls.

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Ivon Prefontaine, PhD's curator insight, February 13, 4:12 PM
Ethics are lived out in the real world, rather than as abstract propositions. Kwame Appiah has written about ethics and legal moralism.
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The Bio-intelligence Explosion – David Pearce

The Bio-intelligence Explosion – David Pearce | Futurewaves | Scoop.it

How recursively self-improving organic robots will modify their own source code and bootstrap our way to full-spectrum


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