Artificial Intelligence in Life Extension: from Deep Learning to Superintelligence

Mikhail Batin, Alexey Turchin, Markov Sergey, Alisa Zhila, David Denkenberger

Abstract


Abstract: 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. Lastly, we speculate about the more remote future, when AI reaches the level of superintelligence and such life-extension methods as uploading human minds and creating nanotechnological bodies may become possible, thus lowering the probability of human death close to zero. We conclude that medical AI based superintelligence is intrinsically safer than, say, military AI, as it may help humans to evolve into part of the future superintelligence via brain augmentation, uploading, and a network of self-improving humans. Medical AI’s value system is focused on human benefit. 


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Mauro G. Six graphs to understand the state of Artificial Intelligence academic research [Internet]. AI-Academy.; 2016. Available from: https://blog.ai-academy.com/six-graphs-to-understand-the-state-of-ai-academic-research-3a79cac4c9c2

Russell J. After beating the world’s elite Go players, Google’s AlphaGo AI is retiring. TechCrunch [Internet]. 2017;. Available from: https://techcrunch.com/2017/05/27/googles-alphago-ai-is-retiring/

Markoff J. Computer Wins on “Jeopardy!” 2011; . Available from: http://www.nytimes.com/2011/02/17/science/17jeopardy-watson.html?pagewanted=all

Ogawa J. Global AI startup financing hit $5bn in 2016 [Internet]. Nikkei; 2017. Available from: http://asia.nikkei.com/Business/Trends/Global-AI-startup-financing-hit-5bn-in-2016

Global Artificial Intelligence in Medicine Market [Internet]. MordorIntelligence; 2017. Available from: https://www.mordorintelligence.com/industry-reports/artificial-intelligence-in-medicine-market

Ching T, Himmelstein DS, Beaulieu-Jones BK, Kalinin AA, Do BT, Way GP, Ferrero E, Agapow P-M, Xie W, Rosen GL. Opportunities And Obstacles For Deep Learning In Biology And Medicine. bioRxiv [Internet]. 2017; . Available from: http://www.biorxiv.org/content/early/2017/05/28/142760

Bostrom N. Superintelligence. Oxford: Oxford University Press; 2014.

Kurzweil R. Singularity is near. Viking; 2006.

De Spiegeleire S, Maas M, Sweijs T. Artificial intelligence and the future of defence [Internet]. The Hague Centre for Strategic Studies; 2017. Available from: http://www.hcss.nl/sites/default/files/files/reports/Artificial%20Intelligence%20and%20the%20Future%20of%20Defense.pdf

Freitas Jr RA. Nanomedicine, Vol. IIA: Biocompatibility. Landes Biosci Georget USA. 2003; .

Eckersley P, Yomna N. Measuring the progress of AI research [Internet]. EFF; 2017. Available from: https://www.eff.org/ai/metrics

Shakirov V. Review of state-of-the-arts in artificial intelligence with application to AI safety problem. ArXiv Prepr ArXiv160504232 [Internet]. 2016; . Available from: https://arxiv.org/abs/1605.04232

Grace K. When Will AI Exceed Human Performance? Evidence from AI Experts [Internet]. 2017. Available from: https://arxiv.org/pdf/1705.08807.pdf

Aubrey D. Escape velocity: why the prospect of extreme human life extension matters now. PLoS Biol. 2004; 2: e187.

Gavrilov LA, Gavrilova NS. The reliability theory of aging and longevity. J Theor Biol. 2001; 213: 527–45.

Bostrom N. Astronomical waste: The opportunity cost of delayed technological development. Utilitas. 2003; 15: 308–14.

Hanson R. The Age of Em: Work, Love, and Life when Robots Rule the Earth. Oxford University Press; 2016.

Yampolskiy R. Artificial superintelligence: a futuristic approach. CRC Press; 2015.

Yudkowsky E. Artificial Intelligence as a Positive and Negative Factor in Global Risk, in Global Catastrophic Risks. M.M. Cirkovic NB, editor. Oxford University Press: Oxford, UK; 2008. 308–345 p.

Intel. Intel healthcare overview [Internet]. Intel; 2017. Available from: http://www.intel.com/content/www/us/en/healthcare-it/healthcare-overview.html

Insights C. From Virtual Nurses to Drug Discovery: 65+ Artificial Intelligence Startups in Healthcare. CB Insights. 2016; .

Giardino C, Wang X, Abrahamsson P. Why early-stage software startups fail: a behavioral framework. Springer; 2014. p. 27–41.

Belcher K. From $600 M to $6 Billion, Artificial Intelligence Systems Poised for Dramatic Market Expansion in Healthcare. Frost & Sullivan [Internet]. 2016 [cited 2017 Aug 24]; . Available from: https://ww2.frost.com/news/press-releases/600-m-6-billion-artificial-intelligence-systems-poised-dramatic-market-expansion-healthcare/

Sparkes A, Aubrey W, Byrne E, Clare A, Khan MN, Liakata M, Markham M, Rowland J, Soldatova LN, Whelan KE. Towards Robot Scientists for autonomous scientific discovery. Autom Exp. 2010; 2: 1.

Boles KS, Kannan K, Gill J, Felderman M, Gouvis H, Hubby B, Kamrud KI, Venter JC, Gibson DG. Digital-to-biological converter for on-demand production of biologics. Nat Biotechnol 35 672–675 2017. 2017; .

Coppock M. Researchers Are Using Neural Networks To Get Better At Reading Our MindsR MINDS [Internet]. 2017. Available from: https://www.digitaltrends.com/computing/researchers-use-neural-network-algorithms-for-more-accurate-brain-scans/

Gero [Internet]. 2017. Available from: https://www.gero.com/

Deep genomics [Internet]. 2017. Available from: https://www.deepgenomics.com/

iCarbonX [Internet]. 2017. Available from: https://www.icarbonx.com/en/)

Wholebiome [Internet]. 2017. Available from: http://www.wholebiome.com

Recursion pharma [Internet]. 2017. Available from: http://www.recursionpharma.com/

Atomwise [Internet]. 2017. Available from: http://www.atomwise.com/

Buchanan BG, Shortliffe EH. Rule-based expert systems. Addison-Wesley Reading, MA; 1984.

Van Such M, Lohr R, Beckman T, Naessens JM. Extent of diagnostic agreement among medical referrals. J Eval Clin Pract. 2017; .

Hayden EC. A $3-billion plan to cure disease. 2016; .

Rosenberg A, Meyerle J. Total-body photography in skin cancer screening: the clinical utility of standardized imaging. Cutis. 2017; 99: 312.

Darrow B. Why IBM Is Dropping $2.6 Billion on Truven Health [Internet]. Fortune; 2016. Available from: http://fortune.com/2016/02/18/ibm-truven-health-acquisition/

Bailey K. Conversational AI and the road ahead. 2017; . Available from: https://techcrunch.com/2017/02/25/conversational-ai-and-the-road-ahead/

IBM. Medical Sieve [Internet]. IBM; 2017. Available from: http://researcher.watson.ibm.com/researcher/view_group.php?id=4384

Deepmind. Helping clinicians get patients from test to treatment, faster [Internet]. DeepMind health; 2017. Available from: https://deepmind.com/applied/deepmind-health/

Face2gene. 2017. Available from: https://suite.face2gene.com/

Babylon Health. 2017. Available from: https://www.babylonhealth.com/

Turbine AI. 2017. Available from: Turbine.ai

Karr JR, Sanghvi JC, Macklin DN, Gutschow MV, Jacobs JM, Bolival B, Assad-Garcia N, Glass JI, Covert MW. A whole-cell computational model predicts phenotype from genotype. Cell. 2012; 150: 389–401.

Hutchison CA, Chuang R-Y, Noskov VN, Assad-Garcia N, Deerinck TJ, Ellisman MH, Gill J, Kannan K, Karas BJ, Ma L. Design and synthesis of a minimal bacterial genome. Science. 2016; 351: aad6253.

JCVI: First Minimal Synthetic Bacterial Cell Designed and Constructed by Scientists at Venter Institute and Synthetic Genomics, Inc. [Internet]. 2016 [cited 2017 Jul 16]. Available from: http://www.jcvi.org/cms/press/press-releases/full-text/article/first-minimal-synthetic-bacterial-cell-designed-and-constructed-by-scientists-at-venter-institute-an

Open worm. 2017. Available from: http://www.openworm.org/

White JG, Southgate E, Thomson JN, Brenner S. The structure of the nervous system of the nematode Caenorhabditis elegans: the mind of a worm. Phil Trans R Soc Lond. 1986; 314: 1–340.

Polini A, Prodanov L, Bhise NS, Manoharan V, Dokmeci MR, Khademhosseini A. Organs-on-a-chip: a new tool for drug discovery. Expert Opin Drug Discov. 2014; 9: 335–52.

Barnes DJ, Chu D. Introduction to modeling for biosciences. Springer Science & Business Media; 2010.

Biohub cell atlas [Internet]. 2017. Available from: https://czbiohub.org/projects/cell-atlas/

Hayden EC. Biology software promises easier way to program living cells. Nat News [Internet]. 2016; . Available from: Biology software promises easier way to program living cells

Molecula Maxima. 2017. Available from: https://moleculamaxima.com/

Bai X, Martin TG, Scheres SH, Dietz H. Cryo-EM structure of a 3D DNA-origami object. Proc Natl Acad Sci. 2012; 109: 20012–7.

Biostamp [Internet]. MC10inc; 2017. Available from: https://www.mc10inc.com/our-products/biostamprc

Campos H. Soccer player Anthony Van Loo survives a sudden cardiac arrest (SCA) when his ICD fires. [Internet]. 2009. Available from: https://www.youtube.com/watch?v=DU_i0ZzIV5U

Wang B. Final Frontier Medical Devices won the tricorder xprize with device that can diagnose 90% of ER situations at home [Internet]. NextBigFuture; 2017. Available from: https://www.nextbigfuture.com/2017/04/final-frontier-medical-devices-won-the-tricorder-xprize.html

Nimb: A Smart Ring That Helps You Feel Safe And Sound [Internet]. Kickstarter; 2017. Available from: https://www.kickstarter.com/projects/1629204423/nimb-a-smart-ring-that-keeps-you-safe-and-sound

Artificial Intelligence for Continuous Patient Monitoring [Internet]. AICure; 2017. Available from: https://aicure.com/

Bennett J, Rokas O, Chen L. Healthcare in the Smart Home: A Study of Past, Present and Future. Sustainability. 2017; 9: 840.

Saenz A. Smart Toilets: Doctors in Your Bathroom [Internet]. Singularity Hub. 2009 [cited 2017 Jul 16]. Available from: https://singularityhub.com/2009/05/12/smart-toilets-doctors-in-your-bathroom/

Intelligent Toilet Monitors Your Health [Internet]. iStep Blog by ifm efector. 2013 [cited 2017 Jul 16]. Available from: http://istep.ifmefector.com/2013/04/09/intelligent-toilet-monitors-your-health/

de Looper C. Google’s smart bathroom patent puts sensors in your toilet, tub, and mirror. Digital trends [Internet]. 2016 [cited 2017 Jul 16]; . Available from: https://www.digitaltrends.com/home/google-smart-bathroom-patent/

Ioannidis JP. Contradicted and initially stronger effects in highly cited clinical research. Jama. 2005; 294: 218–28.

Molteni M. Blockchain Could Be the Answer to Health Care’s Electronic Record Woes. Wired [Internet]. 2017 [cited 2017 Jul 16]; . Available from: https://www.wired.com/2017/02/moving-patient-data-messy-blockchain-help/

Hannah N. The top 10 leading causes of death in the United States [Internet]. Medical News Today; 2017. Available from: http://www.medicalnewstoday.com/articles/282929.php

Marshall AW, Olkin I. A bivariate Gompertz–Makeham life distribution. J Multivar Anal. 2015; 139: 219–26.

Xu Z, Taylor JA. Genome-wide age-related DNA methylation changes in blood and other tissues relate to histone modification, expression and cancer. Carcinogenesis. 2013; 35: 356–64.

Gorina Y, Hoyert D, Lentzner H, Goulding M. Trends in Causes of Death among Older Persons in the United States [Internet]. National Center for Health Statistics; 2006. Available from: https://www.cdc.gov/nchs/data/ahcd/agingtrends/06olderpersons.pdf

Vijg J, De Grey AD. Innovating aging: promises and pitfalls on the road to life extension. Gerontology. 2014; 60: 373–80.

Zhavoronkov A, Bhullar B. Classifying aging as a disease in the context of ICD-11. Front Genet. 2015; 6.

Cabreiro F, Au C, Leung K-Y, Vergara-Irigaray N, Cochemé HM, Noori T, Weinkove D, Schuster E, Greene ND, Gems D. Metformin retards aging in C. elegans by altering microbial folate and methionine metabolism. Cell. 2013; 153: 228–39.

Miller RA, Harrison DE, Astle CM, Fernandez E, Flurkey K, Han M, Javors MA, Li X, Nadon NL, Nelson JF. Rapamycin‐mediated lifespan increase in mice is dose and sex dependent and metabolically distinct from dietary restriction. Aging Cell. 2014; 13: 468–77.

Richardson A, Austad SN, Ikeno Y, Unnikrishnan A, McCarter RJ. Significant life extension by ten percent dietary restriction. Ann N Y Acad Sci. 2016; 1363: 11–7.

Moskalev A, Chernyagina E, Tsvetkov V, Fedintsev A, Shaposhnikov M, Krut’ko V, Zhavoronkov A, Kennedy BK. Developing criteria for evaluation of geroprotectors as a key stage toward translation to the clinic. Aging Cell. 2016; 15: 407–15.

De Grey A, Rae M. Ending aging: The rejuvenation breakthroughs that could reverse human aging in our lifetime. St. Martin’s Press; 2007.

Putin E, Mamoshina P, Aliper A, Korzinkin M, Moskalev A, Kolosov A, Ostrovskiy A, Cantor C, Vijg J, Zhavoronkov A. Deep biomarkers of human aging: application of deep neural networks to biomarker development. Aging. 2016; 8: 1021.

Moskalev A, Batin M. Biomarkers of aging and aging-related pathologies. Dep Bioeng Bioinforma MV Lomonosov Mosc State Univ. 2011; : 63.

May SH. The Need for Better Aging Biomarkers. Life Ext Advocaс Found [Internet]. 2017; . Available from: http://www.leafscience.org/aging-biomarkers/

Piantanelli L, Rossolini G, Basso A, Piantanelli A, Malavolta M, Zaia A. Use of mathematical models of survivorship in the study of biomarkers of aging: the role of heterogeneity. Mech Ageing Dev. 2001; 122: 1461–75.

Kogan V, Molodtsov I, Menshikov LI, Reis RJS, Fedichev P. Stability analysis of a model gene network links aging, stress resistance, and negligible senescence. Sci Rep. 2015; 5: 13589.

GSK and Regeneron to mine gene data from 500,000 Britons. Reuters [Internet]. 2017 [cited 2017 Jul 16]; . Available from: http://uk.reuters.com/article/uk-health-genes-gsk-regeneron-pharms-idUKKBN16U01O

Proffitt A. NextCODE Health Launches deCODE’s Clinical Genomics Platform [Internet]. 2013 [cited 2017 Jul 16]. Available from: http://www.bio-itworld.com

Konovalenko M. Longevity Cookbook: Combinations of Life Extending Drugs [Internet]. 2016. Available from: https://medium.com/@mariakonovalenko/longevity-cookbook-combinations-of-life-extending-drugs-d092feb64c46

Strong R, Miller RA, Astle CM, Floyd RA, Flurkey K, Hensley KL, Javors MA, Leeuwenburgh C, Nelson JF, Ongini E. Nordihydroguaiaretic acid and aspirin increase lifespan of genetically heterogeneous male mice. Aging Cell. 2008; 7: 641–50.

Dessale T, Batchu KC, Barardo D, Ng LF, Lam VYM, Wenk MR, Tolwinski NS, Gruber J. Slowing ageing using drug synergy in C. elegans. bioRxiv. 2017; : 153205.

Lifespan.io [Internet]. 2017 [cited 2017 Jul 16]. Available from: https://www.lifespan.io/

AlphaGo [Internet]. Deepmind; 2017. Available from: https://deepmind.com/research/alphago/

Segler MH, Kogej T, Tyrchan C, Waller MP. Generating focussed molecule libraries for drug discovery with recurrent neural networks. ArXiv Prepr ArXiv170101329. 2017; .

US EPA O. Toxicity Forecasting [Internet]. US EPA. 2015 [cited 2017 Jul 16]. Available from: https://www.epa.gov/chemical-research/toxicity-forecasting

Richard AM, Judson RS, Houck KA, Grulke CM, Volarath P, Thillainadarajah I, Yang C, Rathman J, Martin MT, Wambaugh JF. ToxCast chemical landscape: paving the road to 21st century toxicology. Chem Res Toxicol. 2016; 29: 1225–51.

Buck Institute. Home | The Buck Institute for Research on Aging [Internet]. [cited 2017 Aug 24]. Available from: https://www.buckinstitute.org/

Barardo DG, Newby D, Thornton D, Ghafourian T, Pedro de Magalhães J, Freitas AA. Machine learning for predicting lifespan-extending chemical compounds. Aging. 2017; .

Atomnet. Introducing AtomNet – Drug design with convolutional neural networks [Internet]. Atomnet; 2017. Available from: http://www.atomwise.com/introducing-atomnet/

Pyzer‐Knapp EO, Li K, Aspuru‐Guzik A. Learning from the harvard clean energy project: The use of neural networks to accelerate materials discovery. Adv Funct Mater. 2015; 25: 6495–502.

Rampasek L, Goldenberg A. Tensorflow: Biology’s gateway to deep learning? Cell Syst. 2016; 2: 12–4.

Myint KZ, Xie X-Q. Ligand Biological Activity Predictions Using Fingerprint-Based Artificial Neural Networks (FANN-QSAR). Artif Neural Netw. 2015; : 149–64.

Ossola A. Your Full Genome Can Be Sequenced and Analyzed For Just $1,000. Pop Sci [Internet]. 2015; . Available from: http://www.popsci.com/cost-full-genome-sequencing-drops-to-1000

Rutenberg AD, Mitnitski AB, Farrell S, Rockwood K. Unifying ageing and frailty through complex dynamical networks. ArXiv Prepr ArXiv170606434. 2017; .

Actuarial Life Table. Actuarial Life Table [Internet]. Social security; 2017 [cited 2017 Aug 24]. Available from: https://www.ssa.gov/oact/STATS/table4c6.html

Müller VC, Bostrom N. Future progress in artificial intelligence: A survey of expert opinion. Fundamental issues of artificial intelligence. Springer; 2016. p. 553–70.

Volpicelli G. This Transhumanist Records Everything Around Him So His Mind Will Live Forever. ViceMotherboard [Internet]. 2016; . Available from: https://motherboard.vice.com/en_us/article/4xangw/this-transhumanist-records-everything-around-him-so-his-mind-will-live-forever

Cheshire JR WP. The Sum of All Thoughts: Prospects of Uploading the Mind to a Computer. Ethics Med. 2015; 31: 135.

Bostrom N, Sandberg A. Whole brain emulation: a roadmap. Lanc Univ Accessed January. 2008; 21: 2015.

Yampolskiy R. Turing test as a defining feature of AI-completeness. Artif Intell Evol Comput Metaheuristics. 2013; : 3–17.

Ramsey L. Futurist Ray Kurzweil wants to use tiny robots in our bloodstream to fight disease and live forever. Business insider [Internet]. 2016; . Available from: http://www.businessinsider.com/ray-kurzweil-on-nanobots-and-the-immune-system-2016-4

Delacey L. Cyborg step? Scientists engineer bioelectric cells. New Atlas [Internet]. 2017; . Available from: http://newatlas.com/cyborg-technology-scientists-create-bioelectric-hybrid-cells/47481/

Kharpal A. Elon Musk: Humans must merge with machines or become irrelevant in AI age. CNBC [Internet]. 2017; . Available from: http://www.cnbc.com/2017/02/13/elon-musk-humans-merge-machines-cyborg-artificial-intelligence-robots.html

Urban T. Neuralink and the Brain’s Magical Future [Internet]. waitbutwhy.com; 2017. Available from: http://waitbutwhy.com/2017/04/neuralink.html

Guillamón N, Armayones M, Hernández E, Gómez-Zúñiga B. The role of patient organizations in participatory medicine: Can virtual health communities help participatory medicine accomplish its objectives. J Particip Med. 2010; 2: e21.

Open Longevity [Internet]. Open Longevity; 2017. Available from: http://openlongevity.org/

Luksha P. NeuroWeb Roadmap: Results of Foresight & Call for Action [Internet]. Slideshare presentation; 2014. Available from: https://www.slideshare.net/PavelLuksha/neuroweb-roadmap-preliminary

Bonaci T, Herron J, Matlack C, Chizeck HJ. Securing the exocortex: A twenty-first century cybernetics challenge. IEEE; 2014. p. 1–8.

Engelbart DC. Augmenting human intellect: a conceptual framework (1962). Pack Randall JORDAN Ken Multimed Wagner Virtual Real N Y WW Nort Co. 1962; : 64–90.

Turchin V, Joslyn C. Communications: The Cybernetic Manifesto (Part I). Kybernetes. 1990; 19: 63–4.

Nicolelis MA. Brain-to-Brain Interfaces: When Reality Meets Science Fiction. Dana Foundation; 2014.

Vinge V. Technological singularity. VISION-21; 1993. p. 30–1.

Goertzel. Should Humanity Build a Global AI Nanny to Delay the Singularity Until It’s Better Understood? J Conscious Stud 19 No 1–2 2012 Pp 96–111 [Internet]. Available from: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.352.3966&rep=rep1&type=pdf

Drexler. E.: Engines of Creation. Anchor Press; 1986.

Chalmers D. The Conscious Mind. Oxford University Press, New York.; 1996.

Argonov VY. Neural Correlate of Consciousness in a Single Electron: Radical Answer to “Quantum Theories of Consciousness.” NeuroQuantology [Internet]. 2012; 10. Available from: http://neuroquantology.com/index.php/journal/article/view/548

Ettinger RC, Rostand J. The prospect of immortality. Sidgwick and Jackson; 1965.

Moen OM. The case for cryonics. J Med Ethics. 2015; : medethics-2015.

Merkle RC. The molecular repair of the brain. Cryonics Mag. 1994; 15.

Hayworth KJ. Electron imaging technology for whole brain neural circuit mapping. Int J Mach Conscious. 2012; 4: 87–108.

Gwern. Plastination versus Cryonics. 2017; . Available from: https://www.gwern.net/plastination

Volpicelli G. This Transhumanist Records Everything Around Him So His Mind Will Live Forever. Motherboard [Internet]. 2016 [cited 2017 Aug 24]; . Available from: https://motherboard.vice.com/en_us/article/4xangw/this-transhumanist-records-everything-around-him-so-his-mind-will-live-forever

Ballinger B. Three Challenges for Artificial Intelligence in Medicine [Internet]. Cardiogram blog; 2016. Available from: https://blog.cardiogr.am/three-challenges-for-artificial-intelligence-in-medicine-dfb9993ae750

Szolovits P. Artificial intelligence in medicine. Westview Press Boulder, CO; 1982.

Kumar N, Singh S. Cryonics: current status and future possibilities. Int J Engg Res Sci Tech 2014. 2014; .

Turchin A, Denkenberger D, Milova E, Egorova A, Batin M. Fighting aging as an effective altruism case: the model of impact. 2017.




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