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Potential Work Items

Model Privacy Policy

P3wg can make a valuable contribution to privacy by crafting a model Privacy Policy. This model policy would consist of multiple choice options for the various standard elements of a privacy policy (e.g., what information we collect, with whom we share the information, how we protect the information). This would allow the sites adopting the model policy to rapidly craft comprehensive policies. But more importantly, the use of a standard model would have extensive benefits for users asked to sign the policy.

Benefits of such a policy include:

1. Users could read the policy once and determine their own standards for what terms they will accept. Currently, policies are not read at all (by most users) because they are each unique, lengthy, and in complex legalese terms. A standard policy could be appended with simple language explanations of the various terms and conditions. This would facilitate understanding and – once the model is in widespread use – make it worthwhile for users to review it.
2. Thereafter they will only need to verify that other sites employing the model policy conform to the user's standards.
3. Standardization could lend itself to iconic representation of terms which would further simplify end-user review.
4. Standardization would facilitate competition among offerors. If one site/vendor uses the model and conforms to the user's preferences, it may be preferred over another site/vendor that has a custom policy. If two sites/vendors use the model policy and offers similar services as another, the user may use the differences in the selection of standard terms to choose the site/vendor.
5. By establishing a basis for competition among sites/vendors by the stringency of the privacy terms that they offer, overall privacy can be expected to increase.

Consent and Anti-Patterns

Proposal is that P3 collect examples of consent anti-patterns... i.e. if we see real instances of poor practice in the collection of user data, or presumed consent, or making service provision conditional on acceptance of privacy-hostile terms, etc to record these instances (not with the intent of alienating the service provider concerned).

In the first instance, we will need to collect some examples of policies which are not necessarily "poor", but which serve as discussion points for the topic.

Hopefully out of the process of collection and categorization would come a list of common mistakes. P3 could then propose alternatives.

A link to a page with Consent and AntiPattern examples

Privacy Risk Assessment

P3wg can make a valuable contribution to privacy by crafting a Privacy Risk Assessment. To date, this type of assessment has not been done even though it is a fundamental to any privacy risk analysis. Current discussions of risk rely on citing of examples of breaches, but have not evaluated which data items subject a person to the most risk.

To date, the only risk that has been considered in the area of identity is the initial vetting risk to Idenity Providers and the authentication risk to Relying Parties. Because Identity Providers and Relying Parties are commonly large enterprises (commercial and government), they have had resources to invest in assessing their exposures. This has not been the case for the public at large who are typically the Users of services.

Assessing risk at the data item level (e.g., first name, last name, street address, social insurance number) would allow us to prioritize data items according to risk and provide Identity Providers and Relying Parties a basis for optimizing their selection of data items to meet both their needs for assurance and the user's need for privacy. For example, we know from experience that certain data items (e.g., last name, ethnicity, street address) have been used to cause physical harm (e.g., kidnapping, murder, genocide). Other data items (e.g., US social security number) have been used to cause financial harm (e.g., stealing of banking and credit card accounts). Other impacts include reputatoinal harm and national security.

The risk assessment would begin by attempting to identify the impacts associated with each data item and their associated likelihood. Once a method for collecting/measuring these data is devised and the informatoin is collected, we would then need to find ways to categorize/summarize our findings to make them useful. For example, we may find that certain data items should not be used for identification purposes because they pose too great a risk. Having data behind such a conclusion aids in convinving Identity Providers and Relying Parties to use alternative selections.

One of the challenges to this effort is the lack of hard data with which to measure the impact and probability of privacy breaches. But there are techniques to overcome this and still develop ordinal measures of risk which can be replaced by hard numbers as data beome available.

Performing this assessment allows us to answer questions such as:



This page sets out:

  • the 'framework' charter work items proposed on the formation of the WG,
  • a list of member-proposed work items derived from the Group's initial weeks of discussion,
  • a number of shorter-term deliverables driven by external events (e.g. responses to consultation).

The three sets of items are complementary, not exclusive.

Children Display

POLL "Candidate Work Items"

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Charter Items

White papers and framework documents such as:

  • Privacy Guidance Document to bridge the gap between CPO, technical and policymaker communities, their perspectives and language (suggestion from Iain, this should include CMO and digital lead - they are at the sharp end on issues like behavioural tracking)
  • Privacy Management Framework
  • Privacy Assurance Module to complement Identity Assurance Framework

Stakeholder/outreach activities such as:

  • Regular advisory event to solicit strategic guidance
  • face-to-face Work Group meetings
  • CPO and policymaker workshops

(subject to budget)

Member-proposed Items

Model Privacy Policy

Consent and Anti-Patterns

Privacy Risk Assessment

Privacy Asurance Framework to accompany Identity Assurance Framework during certification audits (likely to be need flexibliity to address requirements of different jurisdictions)

Support for ISO SC27 activities

Enhancing Certificate Semantics (DIFI)

Identifiers in Public-Sector e-Procurement (DIFI)

Acting as counter-point and reviewer of individual-driven information sharing agreements (as will be developed by the Information Sharing Work Group), with a view to ultimately having inter-operable, machine readable, icon-enabled privacy and individual-driven information sharing policies.

Leadership-Council-proposed Items

1. Eve: As illuminated by the GSA/ICAM Identity
Trust Framework, perhaps the P3WG could explore
the idea of "Levels of Protection" and "Privacy Policy
Agreements", perhaps coordinating with IAWG.

2. Joe: Following the work of Jeff Jonas about the
privacy concerns related to "Space Time Travel" 2,
perhaps the P3WG could consider authoring a white
paper addressing related privacy issues.

3. Brett: How to manage liaisons with other external
bodies with respect to privacy standards (eg. privacy
maturity capability model at ISO/IEC 29190) 3

4. Colin: Perhaps the P3WG could provide a proactive
scan across KI WGs to look for various privacy issues
and raise flags.

5. Bob: Perhaps the P3WG could explore producing a
white paper on what kind of assurance levels could
be assigned to various government operations
(presumably focused on the U.S. government).

6. Brett: A useful tool would be a published and
maintained list of key international public policy
debates on Identity (i.e. who is doing what work

Short-term responses

FTC December 09 privacy workshop response

"Madrid Declaration" position statement

EU consultation response

Scottish Parliament privacy consultation response