View
904
Download
2
Category
Preview:
DESCRIPTION
2:45pm Dec1/2012 From Osgoode Hall of York University, Toronto Social Networking Media: Crowd Sourcing the Investigation Cst. Scott Mills, Corporate Communications, Social Media Officer, Toronto Police Service Steven Johnston, Crown Prosecutor, Special Prosecutions Branch, Alberta Justice • Social networking as part of the electronic footprint of a criminal case • Discovery of evidence • Understanding the digital profile of your witness • Using essential "old school" investigative techniques
Citation preview
Crowdsourcing the InvestigationOsgoode Professional Development
Technology Crime and Electronic Evidence, December 1, 2012
Constable Scott Mills, Toronto Police Service
Steven Johnston, Alberta Justice Specialized Prosecutions
DISCLAIMER
The opinions expressed herein are those of the writer/presenter and are not necessarily the opinions of the Toronto Police Service, the Attorney General of Alberta, or the those of the Department of the Solicitor General and Justice of Alberta.
CrowdsourcingAccording to Wikipedia:
Crowdsourcing is a type of participative online activity in which an individual, an institution, a non-profit organization, or company proposes to a group of individuals of varying knowledge, heterogeneity, and number, via a flexible open call, the voluntary undertaking of a task. The undertaking of the task, of variable complexity and modularity, and in which the crowd should participate bringing their work, money, knowledge and/or experience, always entails mutual benefit. The user will receive the satisfaction of a given type of need, be it economic, social recognition, self-esteem, or the development of individual skills, while the crowdsourcer will obtain and utilize to their advantage that what the user has brought to the venture, whose form will depend on the type of activity undertaken".
Why does this matter?
• Impact on policing, investigations and court• Trends• Is it really new?
What’s old is new again
The digital footprint
Intentionally or not any person who is in public creates a digitial footprint,
From CCTV’s to social media people create, both intentionally and unintentionally a footprint in the digital world which can be accessed by people around the world.
Who is the Crowd?
Any person who wants to assist.
Software can run alone as the Crowd, i.e. Tagging of photos.
The impact of privacy laws, while seemingly vast are ultimately local. If Facebook Canada turns off an app, it may be that in another country the app is still on and fully useable.
Police and the Crowd
• First impact is decision to embrace – or not
• If investigation goes to Crowd, must have a plan in place to deal with the amount of information coming in, both good and bad.
• Verification.
Finding Data in Crowd
Youtube – witnesses discussing the case, video being posted which police may not have had, and ultimately the use of software and the crowd lead to sources of information
Facial Recongition Software
Impact on Courts
Disclosure – how will it be managed?
Privacy Issues
Admissibility in Courts
Disclosure
Vast amount of data = proportional increase in requirement to manage the data in disclosure
Privacy Issues
In wake of the Vancouver Riots, police sought to use the ICBC drivers licences for background information and use facial recognition software.
BC Privacy Commissioner ruled this requires judicial authorization.
Admissibility in Court
Alberta Justice Policy is to not use facial recognition software
Not aware of use in Canadian Courts
Developing area of law – standards.
References
California v. Heard, Superior Court in the State of California, Court No 2429070, June 2010;
ANSI/NIST-ITL Standards Data Format for Interchange of Fingerprint, Facial and other Biometric Information;
People v. Johnson, Court of Appeal, 5th District, California – No. F046939, May 2006
Data Mining can be done by computers acting alone
• Potential advantages include a more “objective” evaluation of evidence
• Can find patterns where a person may not• Can deal with much larger volumes of data
than a person• “predictive policing”
Can an algorithym become RPG?
Already happening in private security context, i.e. Credit Cards
What is impact for police/search issues
Recommended