icm2re logo. icm2:re (I Changed My Mind Reviewing Everything) is an 

ongoing web column edited and published by Brunella Longo

This column deals with some aspects of change management processes experienced almost in any industry impacted by the digital revolution: how to select, create, gather, manage, interpret, share data and information either because of internal and usually incremental scope - such learning, educational and re-engineering processes - or because of external forces, like mergers and acquisitions, restructuring goals, new regulations or disruptive technologies.

The title - I Changed My Mind Reviewing Everything - is a tribute to authors and scientists from different disciplinary fields that have illuminated my understanding of intentional change and decision making processes during the last thirty years, explaining how we think - or how we think about the way we think. The logo is a bit of a divertissement, from the latin divertere that means turn in separate ways.


Chronological Index | Subject Index

Every journey matters: opportunism and consumer rights in swarm intelligence

About design, integration and standards for AI

How to cite this article?
Longo, Brunella (2017). Every journey matters: opportunism and consumer rights in swarm intelligence. About design, integration and standards for AI. icm2re [I Changed my Mind Reviewing Everything ISSN 2059-688X (Print)], 6.3 (March).

How to cite this article?
Longo, Brunella (2017). Every journey matters: opportunism and consumer rights in swarm intelligence. About design, integration and standards for AI. icm2re [I Changed my Mind Reviewing Everything ISSN 2059-688X (Print)], 6.3 (March).
Full-text accessible at http://www.brunellalongo.co.uk/

Seeking new methods, building consensus

London, 7 November 2017 - In December 2016, the IEEE launched a Global Initiative for Ethical Considerations in Artificial Intelligence (AI) and Autonomous Systems inviting over one hundred global thought leaders to have their say on “how these intelligent and autonomous technologies can be aligned to moral values and ethical principles that prioritise human wellbeing”.

This is a major initiative that is going to engage and hopefully impact project management activities in an increasingly pervasive field of human endeavours across all industries and sectors.

Huge developments have already taken place for the last fifteen years especially in the transport sector: we have seen the powerful integration of GEO-referenced or GPS based data related to physical networks - produced by sensors and machines - in all sorts of applications but also the aggregation of data produced by or related to people, shared by innumerable anonymous and ephemeral producers and harvested via the world wide web. That means that massive levels of inaccurate and false data have been polluting private and public databases with basically little or no assurance.

Designing applications and services that rely on such mix of infrastructural (the physical layers) and human data has lacked so far a general, overarching and commonly understood governance and methodological framework.

By 2019 we should have a fix with a new IEEE standard, called P7000, providing engineers and technologists with an implementable process aligning innovation management processes, IS system design approaches and software engineering methods to minimise ethical risk for their organisations, stakeholders and end users.

Meanwhile, what can be done to ensure quality, reliability and security of all artificial intelligence developments and applications, reducing and mitigating risks and preventing errors? It is not only a matter of making investments in new technologies more sustainable and less risky, or to manage technological changes impacting organisational structures. In fact, it is mainly a matter of consumers’ rights and interests on one side and appropriate competencies on the other, as I will argue in the next icm2re issue (Decluttering machine learning through accuracy).

Information design is today an overcrowded, over-opinionated and extremely complex field in which hundreds of methodological approaches coexist and new ones stem at every corner where commercial opportunities emerge. Myself and other authors from a socio-technical background have warned and argued that such methodological fragmentation can lead to inconsistencies of results and in the long term irrelevance of a professional approach.

I am not going to introduce or discuss again such complicated context (for more on this see, for instance, my Personas in search of an author). I am satisfied to see that on top of this very complicated maze of epistemological and opportunistic cacophonies coming from different disciplines, it is now commonly recognised that a vacuum of robust and universal engineering approaches or problem structuring and solving methods exists. Thus, we should definitively profit from the elaboration and implementation of a new international standard like the P7000.

In this article I consider some possible basic initiatives that both practitioners and researchers could undertake to prepare themselves while waiting for the P7000 standard, independently from skills standards (such as the SFIA framework I will talk about in the next icm2re issue) and their formal educational background, in order to achieve this basic goal.


Pay and continue reading:

  • Pay 1£ for a 24 hours password and access the fulltext of this article (issue 6.3)
  • Pay 10£ for the printed edition of this article (issue 6.3) sent to you via email (PDF) or printed and posted to your home or office as you prefer
  • Pay 100£ for the full access forever to the entire online icm2re collection (up to the whole of the entire current year in which you place your order)