My Digital FootPrint

The image come from https://iclif.org/articles/give-employees-freedom-within-framework/ a super interesting post "Give Your Employees Freedom Within a Framework"

Read this excellent Medium article on "The Age of the Negative Review Is Over" by @jenniferrabin   thinking about no response to worse than negative when we consider attention.  Have a different issue with reviews and that is that I no longer "TRUST" them, principally because of the emerging and growing set of rules, revisions, lies and so much material on what to do to get one deleted, reversed or hidden.  I have come to depend on feedback and reviews for choices, the ability to read others thinking has been so beneficial for online booking and purchases. The reason is that a while ago we booked a wonderful 4* hotel in the 3 valleys; to read the week before we left a very long, detailed and negative review. We left for skiing a tad worried. We arrived, the staff were amazing, the location was spot on, the food was excellent and the lodging was exactly as described. The previous empty nester reviewer obviously booked a 4* expecting a 6* and as it was

Consent is complex , however it has to be solved - so what would a user experience look like? Given that we have to convey an awful lot of messages in a very small space, in a short about of time and be sure we have done our best efforts to make the user aware of what they are agreeing to. Given that under the ideals of data portability/ sharing the user should be able to choose, any system cannot favour or stop the user from doing anything, but we should enable the user to make an informed decision.  This is not a solution, but presented as a conceptual framework of what we need to achieve.  sets out the red, amber, green or some other colour base format. The colour itself would be calculated from answering a set of questions, and the answers to those questions will be key to informing the user about what the company can and will do with their data if the users agrees. A company cannot pick their colour, it is be calculated and provable based on a standard me

This thought piece explores how business executives ought to be debating control over user (data), is less about where data is collected and stored but rather where, or rather how, individual data is used, monetised and by whom. -- Given that platform companies such as Apple, Facebook, Twitter, Google, Baidu, Amazon, Alibaba, Tencent Xiaomi as examples complicate, confuse and officiate what they are actually doing with our personal data, how can leaders position their business to become truly customer centric and put the customer first. As a context, economics defines utility companies (gas, electricity, water, telecoms) as only having one true differentiator - price. Given the ubiquity and certainty of one unit of electricity is the same from where-every you buy it, the market players create bundles and offers to hide the actual price and to make comparisons between the same utility very difficult or near impossible. However, what happens when you don't have a “price” e.g. Fac

For sometime it has been a wrestle as to why "consent" could be the wrong word.  I have looked at a number of ways of exploring this thinking, but have failed to nail the "why."  Here are a few previous blog exploring the thinking: Why the portability of consent is important is  explored here   Layered consent is like peeling an onion, only to find it is not an onion is explored here Why opt-in and opt-out are the beginnings of consent is explored here What level of consent is reasonable the balance of forgiveness vs approval is explored here So this thinking got me looking at when consent ends in the traditional sense of the word.  Consent being that you provide your approval for something to happen. In the context it is used in law, consent is most often interrupted for the next action, next event or next period of time and once the event, time or action has passed the original consent is lapsed and new consent is sort. Consent cannot be assumed o

The economic argument and case for data portability (mobility) is set out here. Running with the assumption that you agree that data portability/ mobility will create value for the data economy, we need to also think about the thorny issue of layered consent. Some posts that have explored areas of consent Layered Consent: like peeling the onion, only to find it is not an onion! Why “#Privacy-by-Design” is more than playing the game of #ethics of opt-in or the #morals of opt-out. What level of consent is reasonable ..... However in this post, the purpose is to explore what happens when a copy of the data has arrived at the new home, where is consent.  Define :     User                                   [an individual who has agreed to the T&Cs’ to access or use a Data_Holder’s service] Define :    UserData                           [data collected by a Data_Holder from a user] Define :    Data_Holder                     [the entity that has collected UserData fro

This is the PEW report BY LEE RAINIE AND JANNA ANDERSON Code-Dependent: Pros and Cons of the Algorithm Age "Algorithms are aimed at optimizing everything. They can save lives, make things easier and conquer chaos. Still, experts worry they can also put too much control in the hands of corporations and governments, perpetuate bias, create filter bubbles, cut choices, creativity and serendipity, and could result in greater unemployment" Download the full report  Theme 3 is focused on "Humanity and human judgment are lost when data and predictive modeling become paramount"   is excellent - indeed the whole report is.   https://www.pewinternet.org/2017/02/08/theme-3-humanity-and-human-judgment-are-lost-when-data-and-predictive-modeling-become-paramount/