Re: Growing list of priority issues for AI and thus also ethical use and explainable AI

Thank you Milton

After consulting with the list, ie does anyone ahve any
comments/suggestions on the priorities
I d say each priority should be followed by one or more proposed actions,
perhaps?
(immediately feasible actions that are within our currently capabilities,
and desirable actions
that require further/future resources not yet available). This may help
list members steer
their energies

Perhaps you can simply upload these priorities as an entry onto the CG web
pages and wiki

After the list is available as a URL then converting to stratml should be
straightforward with Owens help?

On Thu, Mar 25, 2021 at 9:54 PM ProjectParadigm-ICT-Program <
metadataportals@yahoo.com> wrote:

> For AI the list of priority issues keeps growing.
>
> In our WG we have identified several issues of importance to AI as
> pertains in particular to KR.
>
> I am still working on the graph and other representation paradigms.
>
> But other issues have become important:
> (1) bias, huge datasets used for machine learning have been indicated to
> be in many cases and fields to have several forms of bias, i.e. in facial
> recognition, NLP using machine learning, but more recently also in the
> validity, reliability, information exchange and compilation of all manner
> of data related to COVID-19, from points of care data registration,
> tracing, tracking, monitoring and monitoring of data related to (field
> trials of) vaccines
>
> (2A) data protection and privacy, which is evident in the rush to create
> industry wide global vaccination certification and or passport schemes
> which use mobile apps, cloud based services, and point of care based
> services to record, store and exchange information and data between actors
> in such networks. In particular in air and sea travel the intention is to
> use machine learning to detect patterns of disease spread and improve
> health and safety protocols
>
> (2B) social media, news and entertainment delivery are fully AI driven,
> and now under increasing scrutiny form regulators and governments around
> the world fro a host of data privacy, security and intellectual property
> issues
>
> (3) weaponizing of AI for economic, intellectual property, cyber and
> military warfare.
> The following link summarizes some of the main aspects:
>
> https://www.brookings.edu/blog/techtank/2021/03/24/it-is-time-to-negotiate-global-treaties-on-artificial-intelligence/
>
> (4) the creation of autonomous systems, AI driven is expanding to so many
> different fields that the themes of explainable AI, accountability and
> control which are to a great extent knowledge driven force us to address
> technical issues and KR issues
>
> (5) the marriage of edge computing, quantum computing with AI brings new
> challenges and poses several new points of concern
>
> Can we create a list of priorities and create a StratML blueprint for
> potential tackling of these?
>
> 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
>