Informatica 41 (2017) 401–417 401 Artificial Intelligence in Life Extension: from Deep Learning to Superintelligence Mikhail Batin and Alexey Turchin Science for Life Extension Foundation, Prospect Mira 124-15, Moscow, Russia E-mail:
[email protected], http://scienceagainstaging.com/ Sergey Markov ActiveBusinessCollection, Russia, Moscow, d.19 ul. Vavilova, Moscow 117997, Russia E-mail:
[email protected], https://activebc.ru/ Alisa Zhila IBM Watson, IBM Corporation, 1 New Orchard Road, Armonk, NY 10504-1722, USA E-mail:
[email protected], https://www.ibm.com/watson/ David Denkenberger Global Catastrophic Risk Institute; Tennessee State University Alliance to Feed the Earth in Disasters; 3500 John A Merritt Blvd, Nashville, TN 37209, USA E-mail:
[email protected], http://allfed.info/ Keywords: artificial intelligence, life extension, aging, geroprotectors, biomarkers, machine learning Received: August 31, 2017 In this paper we focus on the most efficacious AI applications for life extension and anti-aging at three expected stages of AI development: narrow AI, AGI and superintelligence. First, we overview the existing research and commercial work performed by a select number of startups and academic projects. We find that at the current stage of “narrow” AI, the most promising areas for life extension are geroprotector-combination discovery, detection of aging biomarkers, and personalized anti-aging therapy. These advances could help currently living people reach longevity escape velocity and survive until more advanced AI appears. When AI comes close to human level, the main contribution to life extension will come from AI integration with humans through brain-computer interfaces, integrated AI assistants capable of autonomously diagnosing and treating health issues, and cyber systems embedded into human bodies.