Privacy, Emerging Technology, and Informa6on Professionals

Mike Smit School of Informa-on Management

Faculty of Management

@michael_smit

Emerging Technology Direc6ons

Privacy & Emerging Technology

Role of Informa6on Professionals

Privacy & Emerging Technology

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Morning Quiz: In which decade did each of the following quotes originate?

Almost inevitably, transferring informa6on from a manual file into a computer triggers a threat to civil liber6es, to privacy, to a man's very

humanity because access is so simple.

Alan Wes-n, 1970

Recent inven6ons and business methods call aNen6on to the next step which must be taken for the

protec6on of [privacy].

Warren & Brandeis, 1890

[Web] privacy issues are a red herring. You have zero privacy

anyway. Get over it.

ScoE McNealy, 1999

When the details of our lives are fed into a central computer or other vast file-keeping system, we all fall under the control of the machine's managers

to some extent.

Vance Packard, 1964

People have really goNen comfortable not only sharing more informa6on and different kinds, but more openly and with more people That social norm is just something

that has evolved over 6me.

Mark Zuckerberg, 2010

With the advance of technology, centralized data accumula6on becomes easier, the reward for

intrusion is increased, and control shiYs to s6ll fewer people.

Jerry M. Rosenberg, 1969

Novel technologies oYen conflict with privacy.

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Novel technologies oYen conflict with privacy.

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Two Specific Modern Challenges

Global Scale

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Technology can help manage

privacy. 14

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Big Data Merged Reali-es Cogni-ve Compu-ng

Emerging Technology Direc6ons

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Caveats

"There is no reason anyone would want a computer in their home. Ken Olson, president, chairman and founder of Digital Equipment Corp., 1977

"Two years from now, spam will be solved. Bill Gates, founder of Microso`, 2004

I predict the Internet will soon go spectacularly supernova and in 1996 catastrophically collapse. Robert Metcalfe, founder of 3Com, 1995

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Gartner Hype Cycle

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BIG DATA

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Gartner Hype Cycle

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What is Big Data?

Volume / Variety / Velocity, or Anything more than you can handle, or Data measured in TB or bigger, or Anything I have a beEer chance of selling you by claiming it is Big Data.

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What is Big Data?

Volume / Variety / Velocity, or Anything more than you can handle, or Data measured in TB or bigger, or Anything I have a beEer chance of selling you by claiming it is Big Data.

WHY is Big Data?

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Reason #1: Web 2.0 turned

everyone into content creators

Reason #2: Internet of Things turns everything into data creators

Image: GE press release

Reason #3: Data accumula6on is less visible

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Reason #4: Declining price of storage

1. How much would it cost to buy enough hard drives to store all the music in the iTunes store?

2. How much space will I need for all those hard drives?

3. Same ques6ons, but pretend it is 10 years ago.

Reason #5: Cloud storage (and pay-as-you-go pricing)

Pre-Cloud

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Price

Time

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Cloud Era

0

1

Price

Time

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Ds1fFtZx4olD5acndKSToGizuuj2D9Ut9prJlDLPpq35mNVHQghsDpGo13qZKpgF8Qe1xQnjKU0VEDwn3aXNTe4miEwbAq2WqkjWx2NZSH70kdK4x3h7L6E6DlnZrZeOlBZLXlFcCklu`Scz0Ei13tqpALVvObQ3BnepwdPUpFSMnqvYaSQ4P3F6We9zXKIZDb-PGl8yyDw6XEAEMUcAq8mR4Z9WOY3XZG8b9QGwINtRMeTdKosHnTobzwf4gFFszjx1E0EJA22up0zg8Ub35gEd8wHc7yTmTZWZMU6hBVsEzhzcTaWx2wlYHstAiYjRAIAoYbuNupw0iWaxweJaCWl9y8J5zZ05YwTlAsh6jAl0Mp2RIkL3F00if8GGt3kaAzT5VQLHZSV1rJSTdMt9g1ldQsPm5U95oZN3Cx9B8sHbsgNINq5yiMjuVlO3rkCd1ShH210wGaIIlLpZ41U2$gK2fCEY5rvKU0p5sQHuIizchKc2zuGGP2FAZ3utFXhXLDIyhdzExe9VKo8DtAQqprlBOrkvdMjVWAs2Jj6H9GW4LrrFZrXY3VC6h6v3pZkDcfwmT6jRwkJrwvbuFCq0t4vOUBjPeSggukZKFAs1IryTkYKTPsJN5Lf5ZXhOqOcc9MB5MnkMAS1yqD5ayDv8kWWW29hLFRiSLF6zkEQA95yer84R91Lt3dfglI2yamX4UDO7j18ocflmcu9zfLklOLbR4Kg63GIvbfafqpv7wcNlBZ3Q3vJsjTmlbR6Is6kIlh3BQIF3W1QWosPhG9oNmR3bzTfK5gACtmgmBTAtKNrtRIK4XAfpRwmUZnBLYWJcjGIgjpD5237WhfZMFSEaMfOSi5SFD1aAq12D0cMh5WW

Reason #6: The lingering hope of finding valuable informa6on

The Challenge: Big Data Hubris

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Why Do We Have Big Data?

because we can.

What is Big Data?

A Problem, not a Solu8on.

MERGED REALITIES

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What is this made-up term?

The merging of the online world and the physical world. Includes: Internet of Things NFC New input / output features Convergence of desktop, laptop, and mobile technology

Quan-fied self Autonomic systems Prevalence of wireless

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What is this made-up term?

The merging of the online world and the physical world. Includes: Internet of Things NFC New input / output features Convergence of desktop, laptop, and mobile technology

Quan-fied self Autonomic systems Prevalence of wireless

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Gartner Hype Cycle

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COGNITIVE COMPUTING

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Cogni6ve Compu6ng

Dealing with problems like a human might Work with natural language, unstructured data Both analysis & interac-on

Aware of context Move beyond analysis to predic-ng / inferring Adapt to user requirements / changing data

Provide decision support

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Gartner Hype Cycle

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Role of Informa6on Professionals

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At the -me of being admiEed as a member of the medical profession: I solemnly pledge to consecrate my life to the service of humanity; I will give to my teachers the respect and gra-tude that is their due; I will prac-ce my profession with conscience and dignity; The health of my pa-ent will be my first considera-on; I will respect the secrets that are confided in me, even a`er the pa-ent has died; I will maintain by all the means in my power, the honour and the noble tradi-ons of the medical profession; My colleagues will be my sisters and brothers; I will not permit considera-ons of age, disease or disability, creed, ethnic origin, gender, na-onality, poli-cal affilia-on, race, sexual orienta-on, social standing or any other factor to intervene between my duty and my pa-ent; I will maintain the utmost respect for human life; I will not use my medical knowledge to violate human rights and civil liber-es, even under threat; I make these promises solemnly, freely and upon my honour. abra

Informa6on professionals and technical experts have a responsibility to society.

Excuse: But privacy is a personal choice!

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Excuse: Society has to decide to make privacy a priority, not us.

Excuse: Focusing on privacy discourages innova6on!

Hype Cycle

Time

Expectations

Peak of inflated expectations

Trough of disillusionment

Slope of enlightenment

Plateau of Productivity

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Regret Cycle

Time

Expectations

Valley of Regret & Despair

Bank of Best Practices

Tundra of Technology Adoption

Mountain of Mistakes

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Minimizing Regret

Time

Expectations

Valley of Regret & Despair

Bank of Best Practices

Tundra of Technology Adoption

Mountain of Mistakes

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Excuse: But I dont know much about technology!

We adopt new technology before were ready 65

and just hope it all works out. 66

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? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?

Informa6on professionals need to ask the right ques6ons.

Sample Ques6ons From the Top of my Head

How will it change our organiza-on of informa-on? Will exis-ng structures and informa-on architectures need systemic changes?

What types of changes do you an-cipate? Will this have implica-ons for how informa-on is stored? Retrieved? Indexed &

searched? Will new processes or controls be required? What addi-onal evalua-on / repor-ng might be required? What new types of informa-on will appear, or become more prevalent, due to

this technology? What value will an effec-ve informa-on management plan add to the adop-on

process? What is the case for alloca-ng resources to effec-ve informa-on management?

What quality of informa-on is produced by this technology (e.g. is there lots of duplica-on, or no consistency, or data that quickly becomes stale)? What quality of informa-on is required? Is informa-on quality improved?

What exis-ng systems might become obsolete? What exis-ng systems require updates or upgrades? Will this technology require integra-on or connec-on to exis-ng systems that do not support integra-on?

Are exis-ng prac-ces and processes sufficient, or will educa-on and training be required?

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You have to fight for your privacy or you lose it.

Eric Schmidt

Execu-ve Chairman, Google

Discussion

Mike.Smit@dal.ca @michael_smit

@michael_smit // #MarConnec-ons 71

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Image Credits (1)

hEp://www.scien-ficamerican.com/media/inline/blog/Image/wisdom.jpg hEp://rudyloans.com/wp-content/uploads/2013/11/Arrow-Up-4.jpg hEp://www.mrwallpaper.com/cat-and-dog-cuddle-wallpaper/ hEp://poEermore.wikia.com/wiki/Category:Gryffindor hEp://poEermore.wikia.com/wiki/File:Slytherin_mark.png hEp://daverobertsfilm.wordpress.com/2011/02/02/media-studies-key-debates/ hEp://www.themobilityresource.com/wearable-technology-and-how-it-affects-

people-with-disabili-es/

Original source unknown; available hEp://adpaascu.wordpress.com/tag/global-ci-zens/ hEps://www.torproject.org/ hEp://www.gnupg.org/ hEp://www.iden-tyfinder.com/

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Image Credits (2)

hEp://www.gartner.com/technology/research/hype-cycles/ hEp://blog.udacity.com/2013/07/new-course-design-of-everyday-things.html Screenshot from hEp://pennystocks.la/internet-in-real--me/ hEp://www.officeimaging.com/ hEp://www.clipartbest.com/gradua-on-caps-clip-art Cost per GB from hEp://www.mkomo.com/cost-per-gigabyte-update Images on slides 47, 57, 58 are Mike Smit, 2014. Slide 35: screenshot of personal laptop & cell phone Slide 37: Vancouver Archives, hEp://searcharchives.vancouver.ca/power-lines-

and-suppor-ng-structure-in-lane-west-of-main-street-at-pender-street

Slide 43: Screenshot of Watson User Modeling. Made from my own copy of their demo applica-on, but also available publicly at hEp://watson-um-demo.mybluemix.net/

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Image Credits (3)

All graphs were created for the purpose of this presenta-on Logos on slide 38 are from the respec-ve websites Images on slide 39:

BoEom le`: Thalmic Labs via TechCrunch hEp://techcrunch.com/2013/06/05/thalmic-labs-raises-14-5m-to-make-the-myo-armband-the-next-big-thing-in-gesture-control/

Top le`: Apple.com Top right: fitbit.com BoEom right: hEps://www.google.ca/glass/start/

Slide 41: hEp://www.geekwire.com/2013/ibm-takes-watson-cloud/

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