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Description
Proposal (in draft mode - from feature request to proposal )
Draft Plan: Consent For Information Sharing & interoperability
Draft 1. Nov20
Draft 2. Nov 30
Draft 3. Draft proposal Update: WIll wait to move to new Information Sharing Interoperability WG - Wiki -
[Note to reader: This proposal, proposes to extend the consent receipt with notice and contract receipt types. This proposal is comprised of an Introduction, the context of the consent standard, and the background for the V. Next in 2020. ]
###Context of this proposal
Privacy and privacy right(s) require notice and consent to cover the use, capture and overall processing of personal data. These laws have evolved through generations, and have become more complex for people to interpret with every common law decision.
Privacy as a tool for regulating surveillance, is a key market driver for consent in digital identity, in fact, for all industries and sectors, the legal codification of explicit consent (real personal data control) for health data began with the Helsinki Declaration in 1964. This is because health data requires the highest standards for data control granularity. The result, is the health industry has defined the highest data transparency, data control requirements to govern the use disclosure and sharing of health data.
###Consent in Identity
Digital technology, and in particular identity management tech, is advanced human attribute and sameness automation technology, traditionally employed for security and access control. Identity Management technology is intentionally designed for human attribute surveillance, at the core it is used for almost all types of surveillance; detection, tracking, aggregation, and all profiling technologies. This means that Identity Management technologies are inherently dangerous for humans and digital identity is implemented to dis-intermediate a personal attributes from a person's physical control (which is much more powerful).
As a result identity management technology (not just digital id tech) represents significant (or high) privacy risks. Risks that were (and are not currently) being considered by most technology developers. For this reason, not only is the consent receipt a critical tool for identity management governance, consent is critical tool for people when engaging with digital identity enabled services.
IdM technology is relatively new in comparison to the very mature human consent considerations encompassed in the existing socio-legal frameworks we have today, which are used to effectively govern the distributed human which we have always been. In the last 20 years, IdM tech has significantly advanced, with only commercial self-governance.
The consent receipt, a decentralised privacy governance standard, is engineered to address critical issues in digital identity management compliance and commercial governance.
###Consent - A human term for interoperability
Consent and the (consent receipt (that capture the state of a specific consent event)) should be interpreted for privacy engineering, first as a social construct, that has been codified legally and then implemented technically.
This proposal takes into context that there has been a tremendous progression in consent receipt works in the last 2 years, along with a dramatic change of market conditions and the enforcement of explicit consent.
Socially, consent as a tool for human interoperability is a concept embed at the core of human interaction and culture. Consent, is represented at all layers of human engagement in static broad policy, but digitally, there is a gap where there isn't strong transparency over data governance. As a result human friction is very high.
Legally, explicit notice and consent is found in all privacy legal instruments around the world. It is a social concept that has evolved over 100's of years in common law to be harmonised formally, from best practice, to standards, to law, to international law.
Today, the GDPR and the first major global enforcement action for notice and consent(1) is the result of significant effort by privacy regulators to address the need for governance, transparency and accountability over personal data processing. (CDP2019-Panel by Regulators calling for implementation of Standards in 2020
####History
The Consent Receipt work is the result of 5 years of specification development.
The consent receipt work was brought to Kantara officially in 2014, by a project called Open Notice. Open Notice, which was a privacy lobby focused on the privacy notice and 'I Agree' problem, challenge. It concluded, that since the core legal privacy requirements for a digital implementation of a Notice is a record of entities in the consent (or identity), that a notice standard was not enough without an identity based consent record standard.
The Open Notice project reported 3 key elements for consent in the context of digital identity management.
- A NOTICE (privacy statement or policy)
- A positive OPT-IN feature
- The IDENTITIES of the parties involved,
Identity, being the legal reason that brought consent to the Kantara Initiative, and why the Kantara community is uniquely suited for this work.
Today, the success of this work is demonstrated with the growing enforcement of notice and consent laws, other (open) standards becoming interoperable with the CR specification, and the use of the Consent Receipt V.1 specification in IdM implementation's, and IdM ecosystem projects.
The V. Next Proposal :
In context of this introduction: (AKA, a specification focused on engineering a human centric transparency - IdM record suitable for managing explicit consent compliance) this proposal encompasses the following 3 feature recommendation for the V. next framework.
- An update of the Consent Receipt v1.1 related works and interoperable projects
- Naming a consent receipt a Human Centric(HC) Identity Record, or Identity Rights Record, or even a Decentralised Identity Record or other
- Proposing micro governance policy modules. For those that resemble a 'Contract' should be separated into another Category of receipt (i.e. personal data processing receipts) and that V. Next work focus on defining "Contract Receipt Types " as a separate than the consent category of receipt, with its own receipt types. Effectively, utilising the consent receipt as a governance module to use with and stack-upon additional agreement based governance services. To enable interoperability and performance testing for : digital consent and contract to be human interoperable. And to enable multi-consent-state contexts + multiple records at once contexts in use cases that might also need + multi party records.
Proposal Breakdown:
This proposal is broken down into these 3 proposed V.Next Features
- 3 categories of Receipts; Notice, Consent, and Contract Receipts; Expanding the distributed governance of privacy rights law to include a specified Contract type of receipt
- Proposing 5 Consent Types, to cover the spectrum of consent to complete the scope of consent receipts component of the works
- Name Consent Receipts works, Human Centric Identity Records
- Interoperability - (The Open Consent Stack) organise, engage and recruit -Kantara wide + inclusive (as a standards efforts interop liaison for using the CR as open format) aka multi community effort to support the Consent Receipt being apart at ISO during this next 1 year ISO study period
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1. Receipt Categories
A. Notice Receipt - (Roughly; A Verified Org record which is 90% of the current Consent Receipt header)
B. Consent Receipt - (provides information relevant to the justification and purpose for processing and what is processed)
C. Personal Data Processing Receipt - Captures the governing framework (if any) for the processing of personal data, and should/can be usable to extend the Consent Receipt. The PDPR should have Contract Types and not Consent Types and perhaps Alternative types of distributed (not decentralised) governance privacy identity records.
2. Consent Types
Defined here so as to limit and complete the scope of the consent receipt work and clearly enable people to crisply depict personal data with surveillance by design from processing with consent by design, as this is a key requirement for explicit consent to be compliant.
**Consent Types Proposed **
Objective: cover the full spectrum of consent relative to a human centric experience (or innate understanding) of consent in context. Mapped to legal authority or justification for processing personal data. (For e.g. the GDPR justifications are referenced, mapping coming)
[Note: A metric of the output is effective transparency between Surveillance by Design (SbD) - thank you Shoshana Zuboff, Feb 2019 ] and Consent by Design, AKA GDPR, PIPEDA, HIPPA, etc
Proposed Consent Types Described
- When Consent is ‘Not Needed’: there is a legal Expectation that surveillance will be notified and privacy will be as reasonably expected. aka protected secure and not based on hidden (or unknown surveillance) ,
A) meaning; that the controller will manage the burdens of privacy notices and informing people themselves, that an independent governance framework or legal mechanism exists (like a contract, or criminal evidence exemption with seperate oversight ) exists for security (e.g. law enforcement, bank fraud, break glass)
B) The legal authority, used for authorising this processing covers the justifications of; legitimate interest, processing is in the public interest, legal obligations by controller to process personal data, and the best interests of the data subject (break glass). - Implied Consent: Surveillance by Design, (data processing and identity management/profiling) is not as expected, most often used for video surveillance with a sign, or called cookie consent with a banner, and covers from processing like IoT and facial recognition at airports to Google Search and ad tracking based analytics.
- Public expectation of privacy or Privacy as Expected (PaE) - this is also the basis for Social Consent: which is consent in democratic society, represented in communications and relationship management, in family and community. The baseline is tailored to culture - and can also be extend to social politics and concepts - like sexual consent, elements of life viewable as patterns (AI).
- Explicit Consent - This is the consent defined in law like GDPR, COPPA, PIPEDA and the Consent Receipt v1.1., GDPR Extension
A) This prescribes that the human is first aware of the risks to their privacy, and is aware of what they are consenting too, or in legal terms a NOTICE - Human Made Consent - or Privacy Agreements: This is when a privacy policy is not needed because the person is setting the consent policy. or Consent Directive themselves, and the laws and best practices of explicit consent are required already.
2. Personal Data Processing Receipts (Category) & Contract Types
Propose to Add to the v1.1 spec A new (V. Next Gen CISWG Work) 'Contract Type' category, to extend the consent receipt work and provide a basic starting receipt type for frameworks
Possible Contract Types/ Alternative
- UMA - Contracts for privacy rights (up-stream) with third parties
- ISA - Information Sharing Agreements with JLinc (down-stream and up-stream)
- CommonAccord, the (Trust Fabric) and Prose- (OpenFlexibleContract for Personal Data Processing Liability)
- Privacy Agreement's (with explicit consent receipts)
- DiD (Distributed Identifier) and SSI Contract Types
3. Interoperable Standards
This section refers to the Consent Receipt Technical Community and the body of standards work that the consent receipt supports for international interoperability. .
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ISO 29100 Lexicon and ISO 29184 - Online Privacy Notices & Consent - In which the consent receipt is appearing in the appendix (nxt yr?)
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Personal Data Categories - a set of personal data categories maintained across communities
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W3C Community Group - Data Privacy Vocabulary Controls (semantic)
- See the Consent Receipt and DPV - GDPR Extension for Explicit Consent and the DPV (used to develop the V.Next)
4.COEL - OASIS Standard, Feb 2019 as Recommend for V.Next CR Ontology; for granular event based - interaction records that can be used to bind at the attribute and data type schema level
- Kantara Initiative Blinding Identity Taxonomy - for an initial set of identity attributes being match to personal data categories.