Demo Lounge

While my last year’s talk gave a futures scenario about the digital self, this year’s talk would be a lot more grounded in the now i.e. what can be done now, what are emerging design principles, importance of ethics and the impact on society. Do we want surveillance capitalism to escalate into data slavery, or do we rather prefer to shape a fair data society?

Since last year’s conference, there were significant changes and progress in launching a non-profit initiative called Fair data society that aims to be the platform where all stakeholders of the data economy can meet. The mission of Fair Data Society is to enable foundations and infrastructure for a fair and sustainable future. Fair Data Society starts with its principles – these build also upon MyData declaration and would be briefly outlined in the talk.

Moreover, the talk will illustrate the fair data society principles in practice through a walkthrough of a decentralised app called Fairdrop – a secure and serverless file transfer over decentralised storage network (not really a demo). Fairdrop is a good example of a so called zero data app, an app that doesn’t track the individual and provides full privacy without sacrificing user experience. In addition, Fairdrop is hosted on decentralised storage network Swarm, making it censorship resistant and ddos fault tolerant. Building such zero data apps, that respect privacy of the individual in a “can’t be evil” way is today a lot easier. especially with the use of Fair Data Society’s fds.js library.

While demonstrating zero data apps through Fairdrop, this will be also the opportunity to unveil a new open source tool, a consent generator library that creates cryptographically valid consent receipts. These receipts can be also saved locally or anywhere the user wants, enabling creation of dashboards for consent management and more. Zero data apps can be compliant with the law, giving more power to the individual. The project is funded by Sitra and done in coordination with Kantara Initiative.

Towards the end of the talk, I’d speak more how the challenges are by far not just technological but also social. In this regard, raising awareness is of great importance. The talk would end with a call-to-action for even greater cooperation and openness. Transforming the data economy is bigger than any of us and we need to work together.

Provide Privacy protection for the people (consumers) including:

a. Data Privacy Awareness

b. Education on use of Social Media with Privacy concerns in mind

c. Customized services (digital forensic)

To solve this problem:

        Leak of personal information (Privacy violation) when using Social Media or

        eCommerce or even government services

The proposed solution:

With PIPS (Privacy Identity Platform and Services)? You will have a smart phone app, providing education, and customized one to one services. and

 providing information and education of personal data shared with social media and e-Commerce and also providing a personal authentication and privacy identity protection platform.

Sharing of personal data has to be consent based. Consent receipts are a way to record information about which of our personal data is used by organizations and why. Like you would store your shopping receipts to have an overview of your shopping history, you can store consent receipts to have an overview of you data history. It makes sense to use a standard format for the receipt, so it has all the required fields and can be read more easily. That is why we have developed a Kantara compliant consent receipt Generator and Viewer apps.

We also believe a person should be in complete control of her data. Decentralized technologies enable individuals to be independent of any centralized servers for functionalities and storage. That is why we have, in cooperation with Ethereum Swarm, developed a completely browser based Fairdrop app (https://fairdrop.xyz/), enabling serverless peer-to-peer storage of files on Swarm. This can be used as personal data storage – including consent receipts.

We will demonstrate a use case requesting a consent from the individual, him giving the consent and sharing data. He will also browse the already received consent receipts, to see how his data is used.

The libraries used are free, open sourced and the consent Generator and Viewer can be used in “non-decentralised” apps.

The JLINC protocol enables solutions based on permissioned data. This demonstration will show software based on the JLINC protocol that enables individuals to directly and dynamically control their data in systems that are processing their data. The protocol includes Decentralized Identifiers (DIDs) and cryptographically signed Information Sharing Agreements (JSON-LD) for real transparency and mutual accountability.

In complex life-events such as parents divorcing, an individual typically has wide range of needs that could be covered by multiple public and also private sector organisations. Currently, the individual is responsible for finding the services himself. In human centric service offering concept, the individual could describe his unique needs holistically, and the service providers would propose suitable services in co-operatively.

We would like to demonstrate a new service offering paradigm in which the services are proposed for the individual’s unique need by and AI. We use a chatbot to ask a wide range of questions from the individual, holistically, covering eight different sectors of well being (ref. Stiglitz quality of life). In addition, we have another chatbot that asks questions in order to gain understanding on more acute services needs. We have trained an AI which is able to propose public sector services when given the data collected by the chatbots.

As a result, we are able to provide a more human centric service proposal for the individual. The questions presented by the chatbots help the individual to gain situational awareness of his needs. The responsibility of connecting the needs to services is taken care by the AI, instead of the individual himself.

At Gaming Brotherhood we have created a privacy by design platform that aims to humanize marketing by putting people in the center of marketing and help companies treat people not only as receivers of marketing messages but also as active producers of those.

Through our automations in marketing we want to enable companies to be able to produce content at a scale that they will be able to market their products to each person differently. In a way that is relative to this person. In a visual and contextual way that will help them showcase how much they value this person’s personality.

Content marketing must address each and every one in the world in that particular way that we are special. Because everyone in the world is special in a way.

User experience, in terms of comments, public endorsement or recommendations via the social media is a common and increasingly popular marketing and advertising practice.

However the balance between privacy and usage of users’ experience for market purposes is a problematic aspect of this highly influential marketing method.

So far, the common practice would be to indirectly elicit users’ comments and use them for advertising and/or marketing purposes without their knowledge or their consent.

Their names, and often other personal details, would be obtained and published without the authorization of the users, who had little to no control over their personal data.

In GB we want to change this, offering a privacy aware solution that would allow companies to create marketing and advertising content based on customers’ testimonies, respecting their privacy and safeguarding that they remain in control of their data. As our vision is to place the individual in the center of marketing and advertising process, we invest in assisting the establishment of trust relationships between the customers and the marketeers. In that context, privacy is the cornerstone of our efforts.

We believe that Gaming Brotherhood may serve as an example of how old marketing methods can be changed towards respecting and empowering the individuals, while abandoning privacy intrusive methods

This live demo shows six Kantara Initiative Working Group participants’ products interoperating to generate, store, present, and act on Personal Data Receipts. We have assembled a non-commercial Privacy Control Panel system and want to show it off to you!
Today, online service providers get information from or about you so that they can provide services. New privacy and data protection regulations have been coming into effect, which increase the requirement for notice, transparency and accountability when your data is collected and processed. Service providers are required to keep records about their terms of service and your agreement.
At their core, these regulations embody variations of the OECD basic principles of privacy protection which suggest the obligations of providers and the rights of the individual.
There are very few tools available to the individual internet user to help them understand, manage and control their online information.
This creates a power imbalance if one wants to go back later and exercise rights with respect to data – because you probably don’t remember who, what, where, when and how the service provider got your information.
There’s a solution!
Imagine if the service provider offered you a “Personal Data Receipt”. This receipt would include timestamps, the contents of the privacy notice you saw, what data was collected for what purposes, conditions like ‘delete-by-date’ instructions, and other useful facts. Just like a store checkout receipt, if there’s an issue later on or if you want to look back to see what you did last year, you can open up the receipt and take action.
In 2018, Kantara Initiative published the “Consent Receipt Specification v1.1” which is an interoperable Personal Data Receipt specification tailored to a specific legal basis for processing. This demo shows real products in action working with these receipts.

MAZI develops a toolkit for building local, community wireless networks: MAZI Zones. We call this alternative technology Do-It-Yourself networking. It combines wireless technology, low-cost hardware, and free/libre/open source software (FLOSS) applications. MAZI Zones will be easily deployed and configured based on a rich set of customization options and interdisciplinary knowledge.
he MAZI toolkit introduces an innovative, decentralised, people-lead paradigm by offering a trustworthy framework that utilizes concepts like Open Source Software and the Participatory Design, which eventually leads to a data-centric decentralized platform. To further enhance the notion of a data-centric decentralized platform the MAZI toolkit offers an offline mode. This enables the creation of local communities that the data they use are generated and consumed in the same place, keeping the ownership of the data throughout this cycle. In both offline and online communication, issues of surveillance, security and trust are of great significance; by using the aforementioned data-centric offline decentralized model the MAZI toolkit tackles all those issues.

In this demo, we will demonstrate iGrant.io platform which showcases the following:
– Org view: Organisation dashboard and its easiness of standardising data models.
– End user view: Personal data management for users via mobile app/SDK/APIs/Privacy dashboards

This demo showcases how organisations can enable trust and transparency towards their users with regard to their data, enabling them to say YES to data sharing. During the demo, the users can use our app/portals etc to mark their choices and preferences when it comes to data sharing.

Decentralized Identifiers (DIDs) are currently being specified at the World Wide Web Consortium (W3C). They are a new kind of identifier that can be generated, resolved, updated, and deactivated by a subject alone, without dependency on any central authority or intermediary. In this demo, we will show the Universal DID Resolver and Registrar. Those are community-maintained tools that make it possible to experiment with this new technology and build higher-level applications and services on top of DIDs.