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AI in life extension

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How to use artificial intelligence to live forever

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AI in life extension

  1. 1. Alexei Turchin I want to live forever
 How AI will help me?
  2. 2. AI spring
 2012 – Neural networks 2016 – AI hype in media
  3. 3. What is going on now?
 Major IT companies created medical AI departments: • Google – Calico, Deepmind Health • Facebook – Chan-Zuckerberg initiative • Intel – Intel health and science • IBM – IBM Watson • Microsoft – Microsoft Health, Allen Brain Atlas, malaria research in Gates foundation
  4. 4. What is going on now?
 Major IT companies created medical AI departments: • Global AI startup financing hit $5 bn in 2016 (Nikkei) • Medicine – 15% of total spendings
  5. 5. What is going on now?
 From Virtual Nurses To Drug Discovery: 106 Artificial Intelligence Startups In Healthcare Deals to healthcare-focused AI startups went up from less than 20 in 2012 to nearly 70 in 2016.
  6. 6. People are still dying
 Aging kills 100k people a day
  7. 7. How apply AI for life-extension?
  8. 8. }Research Therapy Uploading Life extension AI 2 New therapies 3 Robo-scientists 1 Diagnosis 2 Cure 3 Profilaxis 1 Cryonics 2 Recording 3 BCI 1 Cure aging Medical AI ≠ Life extension AI
  9. 9. Medical AI tasks overview 1. Medical research and drugs development 2. Disease prevention 3. Diagnostics 4. Therapy 5. Rehabilitation and nursing
  10. 10. Non-medical AI tasks for life extension 1. Brain interfaces (BCI) – This sphere directly related to life extension as it may eventually lead to “uploading” of human consciousness to a computer; 2. Human security – AI can do a lot to reduce the non-medical risks; 3. Digital immortality and cryonics 4. Partnership with robots
  11. 11. ❶ Narrow AI ❷ AGI = human level AI ❸ Superintelligence AI epochs:
  12. 12. Stages of AI development Narrow AI. now Human level AI, or AGI. somewhere in middle а 21 century Superintelligence, as Bostrom-Yudkowsky - end of 21 century When?
  13. 13. Narrow AI Aging – cause of death Combinations of geroprotectors We need AI to calculate is most effective in scientific research
  14. 14. Geroprotectors • Geroprocteotrs research is one of several promising approaches to fight aging, where AI may help • Other are genetics manipulations, SENS, regenerative medicine, microbiota • Geroprotectors are drugs which prevent aging and extend life • Many drugs, supplements and food could extend life of mice 10-40 per cent individually
  15. 15. Will geroprotectors work on humans? • We don’t know • Very long and expensive experiments are needed • Clinical trial approved only for methformin (but no funding) • Aging is not a disease according to WHO
  16. 16. Biomarkers of aging based on Big data will help • Shorter experiments • Wearable devices • Patient organizations – less regulation • Powerful computer and algorithms are needed to analyze the data.
  17. 17. Combinatorial explosions For 10 – 1024 For 20 – 1 048 576 We need AI to solve it
  18. 18. AlphaGowas able to effectively search combinations space
  19. 19. Data • Wearables and gadgets • 23andMe • Complex blood tests
  20. 20. Data is needed to train narrow AI IBM bought Truven for $ 2.6 billion, which has hundred millions of patients medical records. http://fortune.com/2016/02/18/ibm-truven-health-acquisition/
  21. 21. Startups Deepmind Healthcare: Stream app. “Streaming the right information to the right clinician at the right time” AiCure: confirms medication ingestion Babylon Health: AI expert system + videochat
  22. 22. Similar applications of AI to search for new things Project Atomnet – chemical materials properties predicting on the basis of convolutional neural networks. http://www.atomwise.com/introducing-atomnet/ Predicting the electrical properties of new molecules using a multilayer neural network http:// www.worldcommunitygrid.org/about_us/ viewNewsArticle.do?articleId=450 Ligand properties predictions: http:// www.ncbi.nlm.nih.gov/pmc/articles/PMC4510302/
  23. 23. Other application of AI in medical scientific research New drug candidates could be found • Generative neural networks may create plausible candidates • They could be tested on digital models of cells, molecular pathways or receptors Model of aging as instability of genetic networks • AI could help in calculating complex theoretical models • “Gero” company use system dynamic to analyse instabilities in genetic networks Robots in the lab: automation
  24. 24. AGI When: from 2020 to 2100 How long: From days to decades Conservative estimate: 2050 and decades
  25. 25. Upgrade Network Elon Mask: neural lace and Open AI: net of self improving individuals We: Best way for such merge: medical AI • BCI + “neuronet” • Self-improvement • Cyborgization • Human-like AI assistants • Humoral interface • Social network of patients
  26. 26. Value alignment problem: Humans are self-improving nodes of the net = no need to upload values. It will be best solution, as it doesn’t require one AI taking over the world Upgrade Network
  27. 27. Human level AI as personal physician • Inside your body • Provide advise • Language understanding • Will know source of pain • Could work as autopilot for human: prevent dangerous behavior. Ethical?
  28. 28. Human level AI as a research catalyst Human level AI will accelerate research in life extension • AI-scientists • Automated labs • AI as a research institute ARUP Automation Systems
  29. 29. Human level AI as a research catalyst Problem: 1. 80-90 per cent of medical studies are not replicable. 2. Human life extension is especially vulnerable to fraud as results are remote. Snake oil wins. Task of verification of truth by AI: • replicability, • total recording of experiments, • blockchain, • fraud and plagiarism • detection, • altruistic selfless agents
  30. 30. Human level AI as a research catalyst Problem: 1. FDA require tons of legal documents for clinical rials 2. They cost billions AI lawyer • prepare documents, read laws • Etherium-style contracts
  31. 31. Superintelligence Recursively self-improving Will quickly become smarter than all human race Many are afraid of it: Bostrom, Musk
  32. 32. Levels of Superintelligence
  33. 33. Superintelligence and nanotechnologies Nanorobots A) self-replicating B) externally controlled C) having narrow AI
  34. 34. Superintelligence will solve death
  35. 35. Superintelligence will prevent x-risk
  36. 36. Resurrection of the dead • Cryopatients • Preserved human brain • Digital immortality
  37. 37. Surviving until creation of Strong AI • The older the person, the less chances • Longevity escape velocity [de Grey] • Patient organisations and clinical trials • Competence • Accelerate medical AI creation (if it safe)
  38. 38. Narrow AI AGI Superintelligence People are dying Immortality 2 Wearables 3 Big data 1 Upgrade net 2 Humoral interface 3 Robo-scientists 1 Nanotech 2 Uploading 3 Resurrection 1 Geroprotectors
  39. 39. contacts: alexeiturchin@gmail.com Physical immortality is possible and AI is the best instrument to reach it

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