ai in life extension

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Alexei Turchin I want to live forever How AI will help me?

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Page 1: AI in life extension

Alexei Turchin

I want to live forever How AI will help me?

Page 2: AI in life extension

AI spring

2012 – Neural networks 2016 – AI hype in media

Page 3: AI in life extension

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

Page 4: AI in life extension

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

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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.

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People are still dying Aging kills 100k people a day

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How apply AI for life-extension?

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}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

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Medical AI tasks overview1. Medical research and drugs development 2. Disease prevention 3. Diagnostics 4. Therapy 5. Rehabilitation and nursing

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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

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❶ Narrow AI ❷ AGI = human level AI ❸ Superintelligence

AI epochs:

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Stages of AI developmentNarrow AI. now Human level AI, or AGI. somewhere in middle а 21 century Superintelligence, as Bostrom-Yudkowsky - end of 21 century

When?

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Narrow AI

Aging – cause of death Combinations of geroprotectors We need AI to calculate

is most effective in scientific research

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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

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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

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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.

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Combinatorial explosions

For 10 – 1024 For 20 – 1 048 576

We need AI to solve it

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AlphaGowas able to effectively search

combinations space

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Data• Wearables and gadgets • 23andMe • Complex blood tests

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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/

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Startups

Deepmind Healthcare: Stream app. “Streaming the right information to the right clinician at the right time”

AiCure: confirms medication ingestion

Babylon Health: AI exper t system + videochat

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Similar applications of AI to search for new thingsProject 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/

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Other application of AI in medical scientific researchNew 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

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AGI

When: from 2020 to 2100

How long: From days to decades

Conservative estimate: 2050 and decades

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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

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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

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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?

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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

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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

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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

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Superintelligence Recursively self-improving

Will quickly become smarter than all human race Many are afraid of it: Bostrom, Musk

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Levels of Superintelligence

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Superintelligence and nanotechnologies

Nanorobots A) self-replicating B) externally controlled C) having narrow AI

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Superintelligence will solve death

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Superintelligence will prevent x-risk

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Resurrection of the dead

• Cryopatients • Preserved human brain • Digital immortality

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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)

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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

Page 40: AI in life extension

contacts: [email protected]

Physical immortality is possible and AI is the best instrument to reach it