Re: AI, StratML, SDGs, Dashboards & Collaboration

Paola, in your role as chair of the CG, it would be appropriate for you 
to issue the invitation and, if they agreeable, to schedule the session.

Owen

On 2/13/2020 8:31 PM, Paola Di Maio wrote:
> Owen and Carl
> please do invite the folks to give us a briefing
> or would you want me to do that?
> PDM
>
> On Fri, Feb 14, 2020 at 1:55 AM carl mattocks <carlmattocks@gmail.com 
> <mailto:carlmattocks@gmail.com>> wrote:
>
>
>     Regarding authors of 'role of AI in achieving the SDGs:
>     https://www.nature.com/articles/s41467-019-14108-y '
>
>     I agree we should schedule a televideo conference for them to
>     brief us on their AI activities and explore prospects for
>     collaboration .. including gain agreement of (their) SDG tracking
>     use case for our AIKR work.
>
>     Carl
>
>
>
>     It was a pleasure to clarify
>
>
>     On Mon, Feb 10, 2020 at 12:09 PM Owen Ambur
>     <Owen.Ambur@verizon.net <mailto:Owen.Ambur@verizon.net>> wrote:
>
>         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
>>

Received on Friday, 14 February 2020 05:08:22 UTC