I gave to CHAI to promote CHAI's work related to reorienting the general thrust of AI research towards provably beneficial systems.

I donated to increase the probability that I live when deep minds alphabot comes for my life

I donated to MIRI to support MIRI's work on the important project of ensuring smarter-than-human artificial intelligence has a positive impact.

I donated so that the robots don't kill me in the future

Academic research centre at UC Berkeley that carries out technical & advocacy work to help ensure the safety of AI systems

https://give.berkeley.edu/fund/FN3330000

CHAI’s research spans computer science, psychology, economics and other areas, and CHAI faculty and Principal Investigators include academics at various world-leading American universities. CHAI is one of the few academic research centres that is focused solely on the safety of advanced AI. They work on developing the fundamentals of safe AI which is beneficial to humans and understanding the complexities of the potential risks. 

The Center for Human-Compatible AI (CHAI)

FLI catalyzes and supports research and initiatives for safeguarding life and developing optimistic visions of the future.

To catalyze and support research and initiatives for safeguarding life and developing optimistic visions of the future, including positive ways for humanity to steer its own course considering new technologies and challenges.

Future of Life Institute

We do foundational mathematical research to ensure smarter-than-human artificial intelligence has a positive impact.

The Machine Intelligence Research Institute is a research nonprofit studying the mathematical underpinnings of intelligent behavior. Our mission is to develop formal tools for the clean design and analysis of general-purpose AI systems, with the intent of making such systems safer and more reliable when they are developed.

The field of AI has a reputation for overselling its progress. In the “AI winters” of the late 1970s and 1980s, researchers’ failures to make good on ambitious promises led to a collapse of funding and interest in AI. Although the field is now undergoing a renaissance, overconfidence is still a major fear; discussion of the possibility of human-equivalent general intelligence is still largely relegated to the science fiction shelf.

At the same time, researchers largely agree that AI is likely to begin outperforming humans on most cognitive tasks in this century. Given how disruptive domain-general AI could be, we think it is prudent to begin a conversation about this now, and to investigate whether there are limited areas in which we can predict and shape this technology’s societal impact.

Researchers at MIRI tend to be relatively agnostic about how the state of the art in AI will change over the coming decades, and how many years off smarter-than human AI systems are. 

Machine Intelligence Research Institute

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