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FrankRep
06-09-2013, 06:49 PM
http://www.thenewamerican.com/images/stories2012/predictive_analytics.png (http://www.thenewamerican.com/reviews/books/item/15660-predictive-analytics-the-power-to-predict-human-behavior)



Book review of Predictive Analytics and an interview with the author, Eric Siegel, Ph.D.


Predictive Analytics: The Power to Predict Human Behavior (http://www.thenewamerican.com/reviews/books/item/15660-predictive-analytics-the-power-to-predict-human-behavior)


The New American (http://www.thenewamerican.com/)
09 June 2013


In light of recent revelations of wholesale spying on American citizens by the National Security Agency (NSA) (http://www.thenewamerican.com/usnews/constitution/item/15631-verizon-hands-over-customer-data-daily-to-nsa-top-secret-order-reveals), significant media attention has focused on not only how much data is being collected and under what authority it was being collected in the first place, but on the potential uses of that crucial private information by the agents of the federal surveillance state.

In a timely book on the subject, author Eric Siegel reveals the power and peril of predictive analytics.

Siegel, a former Columbia University professor, describes in his book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (http://www.amazon.com/gp/product/1118356853/ref=as_li_ss_tl?ie=UTF8&camp=1789&creative=390957&creativeASIN=1118356853&linkCode=as2&tag=libert0f-20), how government, law enforcement, hospitals, and businesses use technology to track and predict the behavior of everyone, everywhere. Predictive analytics is the science that turns raw data into useful information.

With this technology, computers literally learn from data how to predict future behavior of individuals. In business, this ability to predict — which is based on the patterns distinguished within the data — helps businesses make informed decisions and identify risks and opportunities.

“Data embodies a priceless collection of experience from which to learn. Every medical procedure, credit application, Facebook post, movie recommendations, spammy e-mail, and purchase of any kind — each positive or negative outcome, each successful or failed event or transaction — is encoded as data and warehoused,” Siegel explained. “As data piles up, we have ourselves a genuine gold rush. But data isn’t the gold – data in its raw form is boring crud. The gold is what’s discovered therein. With the new knowledge gained, prediction is possible.”

No one values this data as much as the domestic surveillance apparatus. The federal government knows it can use this ability to aggregate data and plot patterns to identify and label individuals it considers potential threats to the homeland. This is precisely, the Obama administration claims, the purpose of the surveillance conducted on millions of innocent Americans by the NSA and others.

The dragnet nature of the surveillance completely disregards the “probable cause” requirement of the Fourth Amendment and makes every citizen a suspect and subordinates the Constitution into nothing more than an relic trumped by secret court orders and executive directives.

Predicting human behavior can be helpful, but the potential harm is significant. Information that is a boon to advertisers and retailers can cause irreparable harm to civil liberty.

The full spectrum of possible applications of this technology must be understood in order to avoid allowing government or law enforcement to use predictive analytics to train the never-blinking eye of government surveillance on innocent people (as in the case with the NSA-Verizon operation and the PRISM program) caught in a Minority Report-style dragnet.

Recently, this reporter conducted a telephone with Siegel to ask him about the methods used to collect the data and to ask his learned opinion about the manifold ethical, legal, and constitutional issues involved in such surveillance and data collection.



The New American: Often, predictive analytics as described in your very informative book is used by law enforcement to identify potential high-crime areas in order to direct limited resources toward those areas. When that technology is turned to people, however, isn’t there a violation of constitutionally protected privacy?

Eric Siegel: Yes, likely there is. This use would be an injustice. The ethical issue we deal with in cases like the one you’re describing is that humans are trusting computers as an advisor. Humans must decide how and whether to give credence to the information the computer provides.

TNA: Another constitutional issue that arises when a person is arrested based on predictive analytics derived from computer data is the right guaranteed by the Sixth Amendment (http://www.law.cornell.edu/constitution/sixth_amendment) to one accused of a crime to confront his accuser. How can a person confront — constitutionally — a computer?

Siegel: That’s an interesting question. The computer is not an agent, it is a tool. The humans that collect and consider the data should be accountable and are the actual accusers.

TNA: It seems, Dr. Siegel, that underlying predictive analytics is the sacrificing of the civil liberties of the individual in favor of the possibility that the safety of the many will be increased.

Siegel: Ultimately, people who program the computer to collect the data upon which predictive analytics is applied must be held accountable. The computer itself will never be perfectly accurate and thus there will always be the need for human interaction with the computer and interpretation of the data it gathers. That preserves the moral aspect of predictive analytics when applied to the behavior of human beings.

TNA: What is the relationship between predictive analytics and government electronic surveillance and acts seeking control of the internet such as the Cyber Intelligence Sharing and Protection Act (CISPA) (http://www.thenewamerican.com/usnews/congress/item/15188-cispa-supporters-outspent-opponents-38-to-1) passed in April by the House of Representatives?

Siegel: CISPA fans the flames to provide incentive to government to collect and aggregate more and more data. We need to decide as a society if we want to use this data. There is value in certain of these endeavors if they can be put to use in a way that will not infringe on civil liberties.


When it comes to the potential uses these data can be put to by a federal government bent on placing every movement, every word, every electronic communication under constant surveillance, there is no room for compromise. Enshrined within the Constitution (http://www.law.cornell.edu/constitution/fourth_amendment) are protections for the God-given:



The right of the people to be secure in their persons, houses, papers, and effects, against unreasonable searches and seizures, shall not be violated, and no warrants shall issue, but upon probable cause, supported by oath or affirmation, and particularly describing the place to be searched, and the persons or things to be seized.


Probable cause, supported by oath or affirmation is still the standard. Although companies may skirt this standard, the federal government may not as the Constitution was written to restrain government and keep it from putting another long train of abuses on the rails that lead to despotism.

It seems that while there may indeed be legal, ethical, and moral uses for predictive analytics, the attempt by agents of the federal government’s spy regime to not only gather information on millions of Americans not suspected of committing any crime but to use that information to predict which of them will become a “terrorist” is immoral, a clear and present threat to freedom, and a direct and inexcusable violation of the Constitution.

Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (http://www.amazon.com/gp/product/1118356853/ref=as_li_ss_tl?ie=UTF8&camp=1789&creative=390957&creativeASIN=1118356853&linkCode=as2&tag=libert0f-20), by Eric Siegel, Ph.D. is published by John Wiley & Sons, Inc. and is available now.

liberty2897
06-10-2013, 05:46 PM
I'm surprised that there were no comments on this post. This is what the NSA and lots of others do with all that "big data"... This is how you are evaluated, classified, and judged by software every day. Neural networks and other classification schemes take everything we say, text, type, e-mail, purchase, don't purchase, where we drive, where we move within the grocery store to create a nice summary on us all. Of course all that massive amount of historical raw data is still there to be run through the new and improved algorithms next year.

Take a look at WIki page on predictive analytics

http://en.wikipedia.org/wiki/Predictive_analytics (http://www.thenewamerican.com/reviews/books/item/15660-predictive-analytics-the-power-to-predict-human-behavior)

Take a look at this link from last years government events at predictiveanalyticsworld:

[url]http://www.predictiveanalyticsworld.com/gov/2012/index.php




PAW-Gov In The News:
See the Federal Times article about last year's Predictive Analytics World for Government including interviews with several speakers from the inaugural conference: Software that predicts the future: Does it really help? Software that predicts the future: Does it really help?

What is Predictive Analytics?
Predictive analytics is the process of discovering patterns in past behavior to predict the outcome of future cases. Drawing on a combination of computer science, statistics, and operations research, predictive analytics reduces fraud, waste, and abuse, automates manual processes, and drives smarter decisions by extracting actionable insights from the vast quantities of data within government agencies.

Case Studies
PAW-Gov is designed to help agency managers understand how they can apply predictive analytics to more effectively and efficiently accomplish their mission. Last year over 250 of your peers and leading government experts on data analytics gathered at PAW-Gov to connect, share best practices, and learn from real-word case studies. This year's agenda will focus on the following application areas of data analytics:

Improper Payment Prevention & Recovery
Fraud Detection
Audit Analytics
Healthcare Analytics
Workforce/Human Capital Analytics
Social Media Analytics
Tax and Revenue Collection
Risk Management
Building/Lease Management
Automating Claims Processing
Text Mining / Unstructured Data
Cyber Security


PAW-Gov 2012 is packed with top analytics experts, practitioners, and thought leaders showcasing case studies from the following government agencies:

Centers for Medicare and Medicaid (CMS)
Recovery Accountability and Transparency Board
Internal Revenue Service (IRS)
General Services Administration (GSA)
U.S. Postal Service Office of Inspector General (USPS OIG)
Special Inspector General for Afghanistan Reconstruction (SIGAR)
Department of Homeland Security (DHS)
Social Security Administration
National Protection and Programs Division (NPPD)
Federal Emergency Management Agency (FEMA)
U.S. Coast Guard (USCG)
U.S. Marine Corps (USMC)
National Security Agency (NSA)
National Cyber Security Division (NCSD)
Housing and Urban Development (HUD)
Central Intelligence Agency (CIA)

Who Should Attend?
Predictive Analytics World for Government is for Federal, State, and Local government leaders, analysts, and program managers including:

CXO's, including CFOs, CIOs, CTOs, CHCOs
Directors
Technology Leadership and IT Specialists
Program and Project Managers
Acquisition Leaders and Specialists
Human Capital Leadership and Specialists
Law Enforcement Agents and Managers
Inspector General Staff and Leadership
Auditor and Audit Managers
Forensic Examiners
Management Analysts
Performance Analysts
Appointed Officials
Government contractors and consultants
Private sector leaders interested in helping government use data to make better decisions

Highlights from PAW-Gov 2011:
See below for highlights from last year's conference, or click here to see the complete 2011 conference program.

PAW-Gov’s inaugural program featured case studies from Federal, State, and Local agencies so attendees could witness how predictive analytics is applied by:

Department of Justice (DOJ)
IRS
USDA Risk Management Agency (USDA RMA)
USDA Food Safety and Inspection Service (USDA FSIS)
USPS Office of Inspector General (USPS OIG)
Department of Homeland Security (DHS)
Social Security Administration (SSA)
Department of Defense (DOD)
National Security Agency (NSA)
NASA
Defense Finance and Accounting Service (DFAS)
Texas Comptroller of Public Accounts
Mexico Tax Administration Service
New South Wales Department of Transportation
Richmond Police Department

Hot Topics and Advanced Methods: PAW-Gov’s agenda covered fraud detection, improper payment detection, workforce analytics, law enforcement / crime prevention, claims processing, threat detection / homeland security, cyber security, food safety, grants management, hotspot detection, optimization of facilities, text mining, link analysis, supervised/unsupervised predictive modeling, crowdsourcing, ensemble models, and other innovative applications that benefit government organizations in new and creative ways.

Join PAW-Gov and access the premier keynotes, sessions, workshops, exposition, expert panel, networking coffee breaks, reception, lunches, Federal, State, and Local government leaders, and industry experts in applying predictive analytics.

Brian4Liberty
06-10-2013, 05:58 PM
There was a somewhat related thread about Google providing data crunching service to the government.

My take:


Not a surprise at all. Government will leverage commercial software. Spammers and others have no doubt created a lot software that identifies and tracks people. Sales, advertising and marketing software could be modified to fill government needs too.