Category: Context

The Human Trust Experience in an Era of Big Data

Consumer, Manager, Domain Expert Proposal
Subtopic: Unmet Big Data requirements

Ann Racuya-Robbins Image
tHTRX Logo graphic

1. Title
The Human Trust Experience (HTX) in an Era of Big Data

2. Point of Contact (Name, affiliation, email address, phone)
Ann Racuya-Robbins
World Knowledge Bank: Human Trust Experience Initiative

3. Working Group URL
https://www.humantrustexperience.net

4. Proposed panel topic: Unmet Big Data requirements

5. Abstract
The Human Trust Experience Initiative’s mission is to use Big Data to explore and lay the ground work for understanding the parameters, characteristics, attributes, information architecture, and reference and interaction models of the human trust experience in motion and at rest. Central premises of this work to be evaluated and interpreted are that:
• The human trust experience is foundational to Privacy, to the uptake of ICT innovation, education and the challenges of democratic governance.
• The human trust experience is a central component of all human labor and to individual and community well-being and survival.
• The human trust experience can be a measure and standard by which we understand and prioritize problem solving.

6. Working Group summary
• Create the human trust experience use case.
• Create the human trust experience context.
• Create a semiotics and information architecture of the human trust experience.
• Facilitate through CMS conversation about the tHTRX in a Big Data context.

7. Number of Participants, data working group began, frequency of meetings
December 2013

8. Target Audience
Individuals, Consumers and Producers of Big Data, Businesses, Government

9. Current initiatives
The Human Trust Experience Initiative

10. Specific Big Data Challenges:
Value, Valuation, Contextual Veracity, Identity, Pseudonymity, Anonymity, Privacy, Vetting, Contextual Vetting

11. Urgent research needs

12. Related Projects or Artifacts The Human Trust Experience: Informed Valuation Project

13. Big Data metrics (describe your data to make a Big impression)
Search, discovery, revelation, creation and analysis of the human trust experience from cyberspace data.

14. Keywords
human trust experience, value, valuation, informed valuation, informed contextual value, informed contextual valuation, contextual veracity, identity, pseudonymity, anonymity, privacy, risk management

Economic Inclusion and the Human Trust Experience

Integrating Economic Inclusion

Economic Inclusion is a part of the larger subject of inclusion. Here I am referring particularly to integrating economic inclusion into Information and Communication Technology (ICT) and on the internet in general.

Related subjects are universal design and diversity among others.

Purpose and Key Features

  • Improving the human trust experience across the economic spectrum and stakeholders in our democracy.
  • Ensuring that people and businesses across the economic spectrum including the middle and low end are welcomed and included.

• Ensuring that the needs and opportunities in all areas of contemporary life including business models, value propositions, standards and work products serves the needs of people and businesses of the middle and low end of economic spectrum.

• Increasing cooperation and life sustaining development of products and services.

Methods

• Integration of economic inclusion and human trust experience evaluation criteria into the development and contemporary communities around the world.
• To connect with and liaise with others creating to create Human Trust Experience Ambassadorships to voice the needs of the human trust experience

Examples of Economic Inclusion Criteria and Human Trust Experience Criteria are:

• Risk Evaluation by Perspective
• Purchasing Power Parity
• Micro business pricing (USPTO)

Human Trust Experience and Data Actions

Recently I attended a Privacy Workshop hosted by NIST. One of the insights that emerged is the difference between security language and privacy language. For example while a phrase like “data actions” may from the security engineering perspective be useful and meaningful from the perspective of human beings this term is quite empty. Identity is emergent, tender, personal, lying in the field of emotions and life and death. Identity is alive. We should not be impatient that such an important subject is hard maybe beyond our ability at present to speak to. Privacy too is new and unformed.

I sensed that by the end of the NIST Privacy Workshop there was an awareness of the raw and vast scope of the problem.

When “data actions” means inferring what a human being is going to do or think next, monetizing that and generating revenue for a third party or releasing the recent date of your brother’s death for monetary purposes, the emotional danger of these “actions” emerges.

Context is a wonderful tool to help us. But some things carry across context. I think we should look for our humanity in every context and accept nothing less.