This AI Prediction was made by AGI-11 Conference60 participants in 2011.
Predicted time for AGI / HLMI / transformative AI:
(Hover for explanation)Types of advanced artificial intelligence: AGI (AI that can perform many tasks at a human-level), HLMI (more advanced AI that surpasses human intelligence in specific areas), and Transformative AI (AI that could significantly impact society and the world)
I believe that AGI (however I define it) will be effectively implemented in the following timeframe:[Before 2030 — 43.330-2049 — 2550-2099 — 20ter 2100 — 10%Never — 1.7%]
Opinion about the Intelligence Explosion from AGI-11 Conference60 participants:
Flycer’s explanation for better understanding:
Not provided
The future of humanity with AGI / HLMI / transformative AI:
I believe that AGI (however I define it) will be a net positive event for humankind:[True — 85lse — 15%]
Flycer’s Secondary Explanation:
85% of people believe that AGI will be a net positive event for humankind. 15% of people disagree with this sentiment. AGI, however it is defined, is seen as a potential benefit to humanity by the majority of people.
About:
The AGI-11 Conference was a scientific conference focused on artificial general intelligence (AGI) that was held in Mountain View, California in August 2011. The conference was the second in a series of international conferences on AGI, the first of which was held in Washington D.C. in 2009.The AGI-11 conference brought together researchers, academics, and industry professionals from around the world to discuss the latest developments in AGI research. The conference featured keynote speeches, technical presentations, and panel discussions on a wide range of topics related to AGI, including machine learning, cognitive architectures, robotics, and natural language processing.One of the main themes of the conference was the challenge of building AGI systems that are capable of integrating and applying knowledge from multiple domains. Another major topic of discussion was the development of AGI systems that are capable of self-improvement, or “seed AI” as it is sometimes called.The AGI-11 conference also included a number of workshops on specific topics related to AGI, such as the development of ethical frameworks for AGI and the challenges of building AGI systems that are safe and secure.Overall, the AGI-11 conference was an important event for the AGI research community, providing a forum for researchers and industry professionals to share their ideas and insights on the development of this rapidly-evolving field. The conference helped to promote collaboration and advance our understanding of the challenges and opportunities presented by AGI.
Source: http://hplusmagazine.com/2011/09/16/how-long-till-agi-views-of-agi-11-conference-participants/
Keywords: AGI, Before 2030, True