AI, StratML, SDGs, Dashboards & Collaboration

According to Wikipedia, intelligence involves perceiving the environment 
and acting to maximize the chance of achieving goals. 
https://en.wikipedia.org/wiki/Artificial_intelligence The article also 
cites Tesler's Theorem: "AI is whatever hasn't been done yet."  See also 
https://en.wikipedia.org/wiki/AI_effect

While it may be possible for intelligent agents to decipher goals from 
unstructured text, it seems likely they might be able to more 
effectively help us achieve our goals if we make them explicit in terms 
of near-term objectives and performance indicators.  Since that has not 
yet been done on a worldwide scale, why should it not begin with us?

There are more than 4,000 plans in the StratML collection that can be 
used for demonstration purposes, including the SDGs: 
https://stratml.us/drybridge/index.htm#UNSDG

As far as I am aware, however, progress against the SDGs is not being 
reported in an open, standard, machine-readable format. See, for 
example, the HTML, CSV & PDF at https://unstats.un.org/sdgs/report/2019/ 
The presentation of the data is actually pretty good.  See, for example, 
https://unstats.un.org/sdgs/report/2019/goal-17/

The problem is that few people know about and take the time to view it, 
much less to do anything about it.  While making the data available in 
open, standard, machine-readable format would not solve that problem, it 
would make it easier for value-added intermediaries to engage 
stakeholders in ways that are more accessible and meaningful to them, 
e.g., in their own personal and organizational/corporate performance 
plans.  From my perspective, failing to do so is an example of 
artificial ignorance. 
https://www.linkedin.com/pulse/artificial-ignorance-owen-ambur/

Here's an article addressing the role of AI in achieving the SDGs: 
https://www.nature.com/articles/s41467-019-14108-y It is relatively long 
and unstructured and I haven't taken the time to read all of it.  
However, here some key point:

    We therefore recommend that AI applications that target SDGs are
    open and explicit about guiding ethical principles, also by
    indicating explicitly how they align with the existing guidelines.

See StratML tool, app, and service requirements Objective 8.3: Values 
Alignment 
<https://stratml.us/carmel/iso/SMLTASwStyle.xml#_154473aa-208f-11e6-a80e-7333871eb3cb> 
& Goal 9: Values Validation 
<https://stratml.us/carmel/iso/SMLTASwStyle.xml#_15447c10-208f-11e6-a80e-7333871eb3cb>.  
Those requirements are prime candidates for the application of AI.

    On the other hand, the lack of interpretability of AI, which is
    currently one of the challenges of AI research, adds an additional
    complication to the enforcement of such regulatory actions ...

AI developers and agents should be expected, if not required, to 
document their objectives and performance indicators in an open, 
standard format that is both human- and machine-readable.

    ... associations such as the Future of Life Institute are reviewing
    and collecting policy actions and shared principles around the world
    to monitor progress towards sustainable-development-friendly AI ...

Perhaps we should schedule a televideo conference for them to brief us 
on their AI activities and explore prospects for collaboration. 
https://stratml.us/carmel/iso/FLIwStyle.xml

    A global and science-driven debate to develop shared principles and
    legislation among nations and cultures is necessary to shape a
    future in which AI positively contributes to the achievement of all
    the SDGs.

Whenever I see calls for legislation and regulation, I view it both as a 
cop out as well as an attempt to dictate to others that which we should 
take upon ourselves to do, in partnership with those who share our 
values and objectives.  Perhaps those who view it as the best way 
forward should either study the China model ... or just stand idly by 
and wait for them to impose it on all of us.  For an alternative model, 
see 
https://www.linkedin.com/pulse/privately-well-practiced-public-policymaking-owen-ambur/

Here's a shorter article on AI & the SDGs: 
https://www.undp.org/content/undp/en/home/blog/2019/Using_AI_to_help_achieve_Sustainable_Development_Goals.html 
It suggests, "To improve data accessibility, for example, collectors and 
generators of data, whether governments or companies, will need to grant 
greater access to NGOs and others seeking to use the data for public 
service."  However, it shows no awareness of the importance of open, 
machine-readable data standards -- perhaps because usage of such 
standards would reduce the need for consultants ... or, rather, it would 
require them to add higher-level values than massaging amorphous, 
aimless data.

With respect to dashboards, see 
https://gcn.com/articles/2017/09/12/yet-another-dashboard.aspx & 
https://gcn.com/articles/2017/05/10/machine-readable-data.aspx

I look forward to learning what we might be able to do together along 
these lines.

Owen


On 2/8/2020 7:55 PM, Paola Di Maio wrote:
>
> xml constitutes a structure for language, and certain kinds of AI can 
> be built
> using structured language expressions
>
> PDM
>
> On Sun, Feb 9, 2020 at 1:34 AM ProjectParadigm-ICT-Program 
> <metadataportals@yahoo.com <mailto:metadataportals@yahoo.com>> wrote:
>
>     Can AI be used on StratML utilizing ontologies to create
>     customizable dashboards for project management and collaboration
>     for large networks of collaborating people from different fields
>     of work?
>
>     Question is of importance in eGovernment, eGovernance and
>     achieving sustainable development goals.
>
>     Milton Ponson
>     GSM: +297 747 8280
>     PO Box 1154, Oranjestad
>     Aruba, Dutch Caribbean
>     Project Paradigm: Bringing the ICT tools for sustainable
>     development to all stakeholders worldwide through collaborative
>     research on applied mathematics, advanced modeling, software and
>     standards development
>