analytics and ai: the good, the bad and the ugly

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Srinath Perera VP Research, WSO2 [email protected] Analytics and AI: The Good, the Bad and the Ugly

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Page 1: Analytics and AI: The Good, the Bad and the Ugly

Srinath Perera

VP Research, WSO2

[email protected]

Analytics and AI: The Good, the Bad and the Ugly

Page 2: Analytics and AI: The Good, the Bad and the Ugly

Predictive Analytics

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Machine learning • Given examples build a

program that matches those examples

• We call that program a “model”

• Major improvements in last few years (e.g. deeplearning)

Can you “Write a program to drive a Car?”

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Page 3: Analytics and AI: The Good, the Bad and the Ugly

AI: History• Perception Tasks

• Voice recognition ( Siri, Google Agent, Amazon Echo)

• Language Understanding ( ?? )

• Video recognition ( ?? )

• Cognitive Tasks

• 1999 IBM Deepblue beats Chess Champion Kasparov

• 2011 IBM Watson beats human champion in the quiz show Jeopardy

• 2016 Deepmind’s AlphaGo beats Go Champion Lee Sedol

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Page 4: Analytics and AI: The Good, the Bad and the Ugly

AI: Status Quo

• Hitting Human performance in voice, translation

• Auto Driving ( Google, Tesla)

• Chatbot Lawyer

• AI generated Art

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Page 5: Analytics and AI: The Good, the Bad and the Ugly

Good• AI may be the next revolution

to propel human’s to next level

• Replace manual Jobs

• Age of abundance ( better food, cloths, health, education to all)

• Universal Basic Income

• We might be able to work only 4 hours a day

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Compared to pre-industrial revolution, most of us eat better, have better cloths, live better and longer than the royalty in 18th

Century

Page 6: Analytics and AI: The Good, the Bad and the Ugly

To understand, we need to pick a time

• Short Term (5 years) -Concerns right now

• Medium (10-20 years) -Concerns of wider application

• Long term - Where does everything leads

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Page 7: Analytics and AI: The Good, the Bad and the Ugly

Bad>Short Term: Bias

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It is very hard to debug the models and know what it will do (e.g. Stock Market flash

crashes)

Example: Model to decide who to hire

• Our models inherit our biases

• Models will enhance current status quo.

• Not enough data means low rank

Page 8: Analytics and AI: The Good, the Bad and the Ugly

Bad>Short Term: Other 0.01%• AI tells 99.99% of the time you will

• Commit a crime

• Does not pay back the loan

• Does not do well in life

• What if you are the 0.01%

• Also 0.01% is pushed to be 99.99%

• Filter bubble

• Suggestive advertisements ( what if they show you more cigarettes because you are in the profile)

• Idea that you are not in control ( Where is free will?)

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Page 9: Analytics and AI: The Good, the Bad and the Ugly

Bad: Medium Term: Jobs

• Autonomous diving will wipe out lot of Jobs

• Amazon Go will wipe out more

• Even professionals seem to be in trouble ( Lawyers, Doctors)

• So are Artists

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Is there anything useful left for us to do?

Page 10: Analytics and AI: The Good, the Bad and the Ugly

Bad: Medium Term>Possible Futures

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Case 2: AI is owned by all (e.g. governments)

• Use wealth to give a UBI

• Focus on larger goals to give humans direction ( explore the universe)

Case 3: We can out-law AI and try to contain it. Unlikely to work long

term

Case 1: What if there is N companies doing all

AI, robots • How can other humans pay for

services?

• Resources will run out

• A war will come sooner or later

Page 11: Analytics and AI: The Good, the Bad and the Ugly

Bad: Medium Term>There is Hope

• Humans might start thinking beyond day to day running earth

• Lot of work is interfacing: finding the data, asking questions

• Human interactions, human made will have a premium (e.g. hand loom)

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• Best work can be done by human + AI

• Most decisions are made without full information => leadership

• New Jobs ( e.g. AI phycologists)

Page 12: Analytics and AI: The Good, the Bad and the Ugly

Bad: Medium Term>Injustice of Status Quo

• Same time Status quo is not great. Many do not have

• Healthy food ( AI and automation might do it)

• Best health care (AI can do it)

• Best education (AI can do it)

• Best legal support (AI can do it)

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Is it fair to hold the status Quo and let them suffer?

Page 13: Analytics and AI: The Good, the Bad and the Ugly

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Evil AI: Why

should I do what

humans tell me?

Parental AI: these humans do not know what

is good for them, I will protect them from

themselves!

Ugly: AI Armageddon

Unconcerned AI: I need to explore the universe and to do that I need all metals and energy in earth

Page 14: Analytics and AI: The Good, the Bad and the Ugly

Can’t we build a Safe AI?• Asimov’s three Laws

• Keep power with humans

• Problem is that it is very hard formulate the requirement

• Safety of humans might means AI keep us in cages

• Happiness of Humans might mean put us in our own matrix

• Peace might mean wipe out everything

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For more detail https://www.ted.com/talks/

stuart_russell_how_ai_might_make_us_better_people

Page 15: Analytics and AI: The Good, the Bad and the Ugly

Possible Futures

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AI and Humans will merge

(e.g. Brain computer interfaces)

We figure out a limited use of AI (e.g. Advisory role or a servant role

such as Asimov three laws)

We keep AI out

AI takes over ( that will be the

end)

Page 16: Analytics and AI: The Good, the Bad and the Ugly

Conclusion

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We need to start think about Jobs changes and transitions

However, it is a economic and political problem, not a technical

problem!!

Don’t panic yet, we are not even close to general AI or self aware AI

With luck there is enough time before a threat is eminent

Bias and other immediate

problems are real

Page 17: Analytics and AI: The Good, the Bad and the Ugly

Questions?