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.

Get 1,200 artificial intelligence (AI) researchers and 2,500 other businesspeople and academics, such as Elon Musk, Stephen Hawking, Ray Kurzweil, and David Chalmers, to all endorse one document about AI ethics. You have the Asilomar AI Principles with serious sound bite power: Experts agree on a humanistic AI ethics program! Do the Principles advance a worthy cause? Reading the text of the Asilomar Principles, however, you get a few vague ethical aspirations offered to guide a top-down control regime. The points do it subtly, so as the holographic Dr. Lanning advised in I, Robot (2004), "you have to ask the right questions."

Webinar Overview & Objectives Artificial intelligence is the most transformative technology ever created by humankind and touches almost all aspects of our lives. But, as with all powerful tools, misapplication can cause real harm. When used correctly, AI offers tremendous benefits to candidates and organizations by creating a more fundamentally fair and personal hiring process that leads to greater job fit and satisfaction. To realize these benefits, AI must be deployed according to scientific principles and standards that ensure ethical application and practice. Attend this webinar to learn: - Hazards of using AI without rigorous oversight - Benefits AI offers talent acquisition leaders and their candidates - Standards for using AI in hiring to maximize benefit and eliminate risk AI is a revolutionary technology that has vast potential to benefit humankind, but the unintended consequences of its improper use can be lasting and destructive.

Research Goal: The goal of AI research should be to create not undirected intelligence, but beneficial intelligence. It's no coincidence that the first Asilomar Principle is about research. On the face of it, the Research Goal Principle may not seem as glamorous or exciting as some of the other Principles that more directly address how we'll interact with AI and the impact of superintelligence. But it's from this first Principle that all of the others are derived. Simply put, without AI research and without specific goals by researchers, AI cannot be developed.

In the near term I see greater prosperity and reduced mortality due to things like highway accidents and medical errors, where there's a huge loss of life today.

Science fiction author Isaac Asimov famously predicted that we'll one day have to program robots with a set of laws that protect us from our mechanical creations. But before we get there, we need rules to ensure that, at the most fundamental level, we're developing AI responsibly and safely. At a recent gathering, a group of experts did just that, coming up with 23 principles to steer the development of AI in a positive direction--and to ensure it doesn't destroy us. The new guidelines, dubbed the 23 Asilomar AI Principles, touch upon issues pertaining to research, ethics, and foresight--from research strategies and data rights to transparency issues and the risks of artificial superintelligence. Previous attempts to establish AI guidelines, including efforts by the IEEE Standards Association, Stanford University's AI100 Standing Committee, and even the White House, were either too narrow in scope, or far too generalized.