Meaningful Consent in the Digital Economy

Lead Research Organisation: University of Southampton
Department Name: Sch of of Electronics and Computer Sci


Despite being asked to "agree" constantly to terms of service, we do not currently have "meaningful consent." It is unclear whether having simple and meaningful consent mechanisms would change business fundamentally or enhance new kinds of economics around personal data sharing. Since consent is deemed necessary and part of a social contract for fairness, however, without meaningful consent, that social contract is effectively broken and the best intent of our laws undermined. Our research challenges to address this gap are interdisciplinary: meaningful consent has implications for transforming current digital economy data practices; change will require potentially new business models, and certainly new forms of interaction to highlight policy without over burdening citizens as we go about our business. We have set out a vision to achieve an understanding of meaningful consent through a combination of interdisciplinary expert and citizen activities to deliver useful policy, business and technology guidelines.

Planned Impact

We aim to provide a functional meaningful consent framework that will facilitate greater understanding of data protection models, enable more effective policy and legislation that will work with citizen behaviour for meaningful consent. The interdisciplinary scope of the research in this project will deliver in three key areas for impact in each; policy, technology and business.

Social Policy Impact: Policy Framework [lead, Thomas, first output year 1] will translate research insights from the involved disciplines (economics, marketing and computing & web science) into principles to inform and structure the development of future data protection, privacy and consent legislation both domestically and internationally, since there is significant data protection policy activity at the European level. Of particular interest are questions about what constitutes meaningful consent in a personal-data context, how to determine which scenarios should require meaningful consent, how to implement those requirements in policy and respond to them with technology, and how compliance with user consent can be audited and enforced.

Academic/Technology impact [lead: schraefel, first prototypes 6m in] will include prototypes and techniques as part of a framework that aids understanding and awareness on the part of citizens for meaningful consent, both in business-exchange scenarios (eg participating in corporate-owned social networks, accessing material on sites where one subscribes, etc) and more generally, where these mechanisms provide smarter and more effective ways to elicit, store and communicate consent by reducing confounding effects such as habituation and decision fatigue.

Business impact [lead: Orhaghi, first outputs, year 1] will be in the form of a better understanding of how strong meaningful consent requirements would disrupt existing business practices and how this disruption could be exploited by new business models and practices that use privacy and consent as selling points.
Description Two key outcomes:
1. it is possible to re-imagine current consent of "you have read these terms" into something that can be automated by intelligent agents to manage and anticipate preferences - and to negotiate personal data trading on a person's behalf - this approach has particular implications for "headless" or displayless interactions that simply grab one's data without asking for explicit consent in the IoT - doors, halls, buildings, etc. we have developed both the theoretical mechanisms to make the negotiation possible, and explored and tested models of interaction for people to manage and trust these negotiations

2. It is also possible to better signal the STATE of data flows - in what we innovated to call Apparency to Transparency - where we can show that we can make how data is used - that it is being used and where - apparent to users - and then able to interogate how and in particular to action flows - This is a more elegant approach than the current brutish gdpr that asks for consent for cookies - which does not mitigate all tracking. We are not saying that we invent how to show trackers, but that we have proposed a framework for designers in particular to make explicit the state of information flows within use of their devices - that there is such resistance to doing so at all - to be "opaque" about transparency in data terms and conditions indicates that there is far more work to do for citizens rights - and for data innovation
Exploitation Route 1) the World Economic Forum is using the concept of "meaningful consent" for a current working group between political and industrial regions
2) the work underpins the collaborative platform grant AutoTrust
3) our Five Pillars of MCDE is likewise in use with the ICO in the UK
4) this work has also informed the structures for Consentua UK
Sectors Digital/Communication/Information Technologies (including Software),Culture, Heritage, Museums and Collections,Security and Diplomacy

Description UPDATE 2020 = the work has lead to the successful collaboration with warwick that enabled the submission and acceptance of the Last Platform Grant, AutoTrust to explore human in the loop data sharing in the internet of vehicles. Likewise this work is being recognised and used in the World Econimic Forums Data Trust and Meaningful Consent Panel - starting fall 2019. Findings on what is consent in the digital economy are being used by a variety of UK groups looking at privacy policy, including the Information Commissioner's Office and companies from EU arms of coprporations from Visa to Facebook. Demontrators from the project, including the Web Mirror, are being used by teachers to help students gain direct experience of why and how data consent works, and why it is important to enable them to make better informed consent choices. The resaerch work from this project has also been the foundation for the just-announced EPSRC DE Platform Grant AutoTrust - for the design of a safe, human cenetered Internet of Vehicles
Sector Digital/Communication/Information Technologies (including Software),Education
Impact Types Societal,Policy & public services