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Showing posts from July, 2019

Status update on automated decisions and algorithms

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The problem defined by responses   We don't know how automated decisions are being made We don't know what the impact of the automated decisions is / are We don't have a complete map of where the automated decisions are We have little to no qualified insight into the effects on the business or our customers There is no reporting to management when automated decisions have problems - as we don't know when it does There is a sense of trust in the (cto, cio, coo) that they will be on top of it We have no idea about bias in the original algorithm, data set and what updates changes have been made and the effect How our automated decisions effect people in the organisation and their behavior has not been qualified excellent writing and thinking on automated decisions and algorithms https://fpf.org/2017/12/11/unfairness-by-algorithm-distilling-the-harms-of-automated-decision-making/ https://www.infoq.com/articles/Can-People-Trust-Algorithm-Decisions/ htt

Imaging Digital Strategy starting from TRUST

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The purpose of this post is to set out the logic and background thinking to help create a digital strategy based on the concept of consumer TRUST. By the end you should have a framework to debate internal assumptions and hurdles which may be preventing your organisation from realising a transformation to digital thinking. A post exploring the consumer TRUST and why they matter is linked here. If your not sure about the types of consumer trust that exist, please do read that one first. This post starts out by looking at the strategic options which have dominated management thinking for over 50 years and how they are challenged by platforms and Data; including Big Data. It considers what happens if companies maintain existing strategies and styles, since these dominant forces (strategy and style) have path dependency (as in the economic definition). There is a recognition that the pressure of short term reporting and financial planning, with linear models, leads to a lack of appet

Mapping the different views of privacy ( public vs private) and why one identity makes no sense

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Plotting your view of private self to a public self, against wanting to be more private as a citizen or more public as a person. Broadcast ( where you are public figure) Identity in the form of recognition Professional ( have to be known and have a status) Identity in the form of reputation Obscurity ( ability to hide in plain sight) Identity I am who I say I am (or others) Privacy Laws (where so much case law exists) Identity in the form of want to hide and have protection

If Man can create General #AI, will it solve the infinite regress problem? Exploring how a creators mind would need to work?

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The Infinite Regress problem is explained in the two sources below in far more detail. The basis of the idea is that each newly presumed creator of a creator, is itself presumed to have its own creator! In one form created adults create babies whom themselves can create babies and so it goes on. However the purpose of this post is to think about this problem in light of humans creating something (General AI), that itself will create something better than the creator (humans). Source 1 : https://en.wikipedia.org/wiki/Infinite_regress Source 2: http://www.informationphilosopher.com/knowledge/infinite_regress.html ----- Starting from the new concept (April 2019) of “Machine Behaviour” which is the thinking from MIT that says we should observe AI and record its action to understand what is going on inside AI. This is the same thinking as observing animal behaviour to determine what an animal may be thinking and their unique personalities. As a observational technique it certainly

No-Organisation and how Data will break the hierarchy!

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image source  thinking about delivering innovation, growth and sustainability by internalising the disruptors within the institution Summary This thought-piece is based on the experience of the author through exposure to the dynamics of corporate actions, startup funding and a little empirical research. The purpose is to present a radically new concept for a corporate structure; because there is a belief that hierarchy and structural issues are the main hurdles preventing corporates implementing truly disruptive strategies which can if implemented using this thinking deliver growth, create innovation and long term sustainability. The title is a play on “No Logo” by Naomi Klein Context We continue to wrestle with an ongoing thought: How should a corporate organise itself to foster entrepreneurship and innovation? Yes, there is an implied assumption here; the belief that in order to grow, thrive and maintain relevance as an organisation, there is a need for innovation and

Exploring the nascent personal data {portability, sharing, mobility} market models, players and positioning.

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{portability, sharing, mobility} this is used to provide the widest possible coverage of models and thinking. Portability that the data can move, sharing data as the ability to have access but does not need to move, and mobility as in the data is decentralized ------- Any discussion about personal data leads to opinions being shared about what it means (to someone) based on the position you start from; a personal view is different from a groups view, which is different from a citizens view and different again from an enterprise views. Inevitably there is a heated exchange as one of the parties believes in the purity of their view(point) and model to create a utopia and panacea for everyone. Once we grasp that there are massive gaps, voids and value in any of the starting positions; adding the complexity of assumptions, experiences and data itself, we can look at the different approaches and debate the wide range of solutions. The purpose of this post is to provide a framework

Cost and Value

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This is an original drawing from My Digital Footprint thinking.  Have been back to the thinking about the two sides of data ( digital footprints) as costs and value. I missed from this "cost and value" what is the cost and value to society of our data.   The cost is one for the state (moving to you and corporate) to pick up that proves assurance about me being me for things like KYC, however it is the value for society that is somewhat more important that just value for me ( as gives trust) My data means that someone else might not suffer, my data means that someone else might get treated quicker, my data means that an error should not get repeated  ... just trying to work out in the equation where this all sits