When is AI taking over _my_ job? - Edinburgh 2018

A presentation at DevOpsDays Edinburgh in October 2018 in Edinburgh, UK by Sasha Rosenbaum

Slide 1

Slide 1

When is AI taking over my job SASHA ROSENBAUM

Slide 2

Slide 2

Slide 3

Slide 3

Slide 4

Slide 4

Slide 5

Slide 5

My name is Sasha Rosenbaum I work for #Microsoft I’ve been #building #things with #technology for the last 13 years

Slide 6

Slide 6

Definitions

Slide 7

Slide 7

Intelligence The ability to accomplish complex goals

Slide 8

Slide 8

Artificial Intelligence The ability of a machine to perform tasks commonly associated with human intelligence

Slide 9

Slide 9

Machine Learning Machine learning (ML) is the science of getting computers to act without being explicitly programmed. ML is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

Slide 10

Slide 10

Stand up Touch your nose How exactly did you do that?

Slide 11

Slide 11

Slide 12

Slide 12

Superhuman AGI Superhuman artificial general intelligence is the ability of a machine to accomplish any goal as well or better than humans

Slide 13

Slide 13

Opinions Superhuman AGI is not possible Superhuman AGI will be achieved within the next couple of decades We only need to worry about conscious machines

Slide 14

Slide 14

Slide 15

Slide 15

Goal ≠ Purpose

Slide 16

Slide 16

Slide 17

Slide 17

Does Artificial Intelligence have to be that smart?

Slide 18

Slide 18

Slide 19

Slide 19

Slide 20

Slide 20

Slide 21

Slide 21

So, whom can these “narrow” intelligence systems replace?

Slide 22

Slide 22

Occupation Clerks Cashiers Cooks Taxi drivers Bakers Waiters Accountants Paralegals Likelihood of computerization 86-99% 83-97% 81-94% 89% 89% 94% 94% 94%

Slide 23

Slide 23

Occupation (United States) Office and administrative support occupations Sales and related occupations Food preparation and serving related occupations Transportation and material moving occupations Management occupations Education, training, and library occupations Production occupations Healthcare practitioners and technical occupations Business and financial operations occupations Construction and extraction occupations Personal care and service occupations Installation, maintenance, and repair occupations Building and grounds cleaning and maintenance occupations Computer and mathematical occupations Number of Employees 23,081,200 15,747,800 13,206,100 10,274,200 9,533,100 9,426,500 9,356,900 8,751,500 8,066,800 6,812,500 6,419,700 5,905,400 5,654,100 4,419,000

Slide 24

Slide 24

But wait, I am a “knowledge” worker, surely it isn’t easy to replace me?

Slide 25

Slide 25

Slide 26

Slide 26

Slide 27

Slide 27

Slide 28

Slide 28

Slide 29

Slide 29

Imagine a landscape of human competence, having lowlands with labels like arithmetic and rote memorization, foothills like theorem proving and chess playing, and high mountain peaks labeled locomotion, hand-eye coordination and social interaction. Advancing computer performance is like water slowly flooding the landscape. A half century ago it began to drown the lowlands, driving out human calculators and record clerks, but leaving most of us dry. Now the flood has reached the foothills, and our outposts there are contemplating retreat. We feel safe on our peaks, but, at the present rate, those too will be submerged within another half century. - Hans Moravec

Slide 30

Slide 30

Rate of progress

Slide 31

Slide 31

Rate of adoption

Slide 32

Slide 32

So, what do we do now?!?

Slide 33

Slide 33

Slide 34

Slide 34

The world will change in ways we do not anticipate

Slide 35

Slide 35

Luddites English workers in 1811–16, who destroyed machinery, especially in cotton and woolen mills, that they believed was threatening their jobs.

Slide 36

Slide 36

Selfishly speaking, resisting progress is a bad idea

Slide 37

Slide 37

Pensions Problem $$$

Slide 38

Slide 38

Which jobs will linger? vPerception and manipulation vCreative intelligence vSocial intelligence

Slide 39

Slide 39

Occupation Therapists Engineers Scientists Teachers Chefs Lawyers Event planners Software Developers Likelihood of computerization 0.3-34% 0.4-96% 0.4-67% 0.7-26% 1% 3% 4% 4-13%

Slide 40

Slide 40

AI Ethics

Slide 41

Slide 41

Bias is a property of information

Slide 42

Slide 42

We must build AI responsibly

Slide 43

Slide 43

Build AI responsibly!

Slide 44

Slide 44

Thank You! @DivineOps

Slide 45

Slide 45

Resources Tegmark, M. Life 3.0 - Being human in the age of artificial intelligence. Frey, C.B. & Osborn, M. A. The Future Of Employment: How Susceptible Are Jobs To Computerisation? Oxford University Kurzweil, R. The Singularity is near. When humans transcend biology.