posting to the wires : Deep Knowledge Representation for Explainable Egovernance

Dear all,
not sure I mentioned, but in one of my previous lives I was a publisher
I still have an account with one of the news distributors, its a bit like a
baby that needs constant feeding,  one of the reasons why I am not doing
this full time is that the revenues were
near zero, At the same time, it can be useful dissemination activity -
so, if any group member have something they would like to publish, please
send it to me for distribution, see the item below
PDM

---------- Forwarded message ---------
From: Factiva <emailednews@email.global.factiva.com>
Date: Mon, Jan 6, 2020 at 4:18 PM
Subject: content-wire : Deep Knowledge Representation for Explainable
Egovernance
To: <paoladimaio@gmail.com>


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Deep Knowledge Representation for Explainable Egovernance
<https://global.factiva.com/redir/default.aspx?p=sta&ep=AE&an=CWRE000020200106eg120008d&fid=301096886&cat=a&aid=9ZZZ038900&ns=65&fn=content-wire&ft=g&vl=ev&jid=FSP08f76397-b245-4881-a245-629abea4db54&OD=V2zBzMux_2F_2FQQlFf4iUV51GuiHXpsiFqPkv4VDylfo6KAxAddYwr9ZXKQ_3D_3D%7c2>

Content Wire, Desk, Thursday, 02 January 2020, 404 Words, Copyright © 2020
Content Wire (Document CWRE000020200106eg120008d)

The rapid proliferation of Artificial Intelligence (AI) tools platforms and
technologies from academia to industry and beyond, and the consequent media
spin, has been worryingly accompanied by a lack of reference to, and poor
application of, knowledge representation (KR), despite a wealth of
techniques and modeling options.

For those who have worked in AI before the current hype cycle, such notable
shortfalls may limit the credibility of contributions to AI developments
especially in consideration of evolutionary and increasingly autonomous
software development techniques, such as neural networks.

The limited ability for different classes of users to gain insights into AI
driven system functions (without having to parse and debug convoluted,
encrypted code to test systems behaviour, for example) are important
concerns, especially now that AI chains drive and underpins system logic at
a global level, from banking ATMs to personal identity, to online accounts
and workflows of all kinds.

KR can provide mechanisms and tools for system logic to be transparent and
accountable, which are necessary qualities for auditability, reliability
and explainability. Yet AI systems logic— including use application and
visibility—can be cumbersome and requires s pecialised knowledge and costs
considerable time to analyze. KR can also support the shared and explicit
understanding of the socio technical contexts in which AI systems are
deployed, and can also help to capture and analyze risks and
responsibilities associated with autonomous functions of distributed
intelligent systems.

Most of AI, like many scientific and technology topics, can only be
superficially understood without in depth specific knowledge of the
programming languages and systems architectures, and thus can easily drift
into spin and misinformation. In some cases, it is becoming difficult to
distinguish fact from fiction, as in the Deepfake examples [1]. Policy
makers and legislators cannot even begin to evaluate the reality of AI
challenges at the regulatory level without explicit KR of the intended
functions and methods and underlying quality and integrity assurance.
Business processes, understanding, explainability, decision making,
usability and reliability of intelligent systems all depend on KR.

This research explains and presents the relevance and importance of KR for
eGovernance drawing from contemporary developments in AI, and builds on
lessons learned from the participation in previous and current related
international efforts.

br>

1.Deepfakes <https://arxiv.org/abs/1905.00582>

and

AI KR W3C CG <https://www.w3.org/community/aikr>

Note: This Abstract was presented by P.Di Maio at the 14th IAC
Conference,Taiwan
<https://iacio.org/14th-iac-annual-conference-september-2019-taiwan>

Slides Here
<https://docs.google.com/presentation/d/1uuNFC8IGd6JrYUdqURhXsy7TRuGJABRdzIPQsddbyno/edit?usp=sharing>
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