Re: Welcome , Steven to the AI KR (Artificial Intelligence Knowledge Representation) Community Group

Paola and Stephen

I do not remember seeing the 04-14 11:40  notice about Stephen Watt being a
participant in AI KR CG.

I do want to welcome Stephen and his interest Privacy and Trust in AI and
Agentic Ontologies. Especially since I am currently focused on W3C work
such as DCAT, PROV-O and Verifiable Credentials, alongside related ontology
work such as DPROD (Data Product Ontology). Which is an OMG (Object
Management Group) standard designed to define data products, ensuring they
are discoverable, interoperable, and managed as products.

welcome to the CG, I look forward to learning more

Carl Mattocks
co-chair AIKRCG
It was a pleasure to clarify


On Wed, May 13, 2026 at 4:04 PM Paola Di Maio <paoladimaio10@gmail.com>
wrote:

> Stephen
> Thank you for your introduction,
> https://lists.w3.org/Archives/Public/public-aikr/2026Apr/0004.html
> which I paste below
> For some reason, it it did not reach my inbox, apologies for the delayed
> response
> Please outline your use case and present your problem space, as you
> suggest below
> so that we may brainstorm accordingly
> PDM
>
>
> Dear all,
>
> I’m Steve Watt, a physician working at the intersection of evidence
> generation, implementation science, and AI-mediated knowledge systems, and
> founder of People’s Evidence Lab (PEL). I previously spent many years in
> Pfizer’s Medical Affairs and evidence-generation organizations, working on
> medicinal benefit–risk, real-world evidence, and patient-centered research.
>
> PEL is a small research and consulting group focused on how evidence
> travels — or fails to travel — into practice and policy. At PEL, when we
> say evidence needs to “travel,” we mean that evidence should retain the
> context, provenance, method history, and clarity needed for downstream
> users — including humans, agents, and LLM-mediated interfaces — to assess
> what to trust and how to act on it. Our concern is not only whether
> evidence is rigorous at the point of generation, but whether it remains
> understandable, traceable, and decision-useful when it reaches the setting
> where action is required.
>
> That concern is what brings me to AI KR. I’m particularly interested in
> how existing W3C standards for provenance and credentialing, including
> PROV-O and Verifiable Credentials, and related community ontologies such as
> PAV could help AI-mediated outputs carry more of their trust-relevant
> context with them. In particular, I’m interested in how humans, agents, and
> LLM interfaces might recognize — and respond differently to — outputs whose
> provenance, methods, or evaluation history are incomplete or opaque.
>
> The strategic topic areas around Privacy and Trust in AI and Agentic
> Ontologies feel especially relevant because the same evidence output may
> need to travel across multiple downstream decision contexts — clinical,
> patient-facing, regulatory, educational, operational, or agent-mediated —
> each with different thresholds for trust, action, and accountability, and
> each with different constraints on exposing sensitive underlying data. As
> AI systems move from generating answers to taking steps on behalf of users,
> this becomes not only a communication problem but a
> knowledge-representation problem: agents need shared ways to represent
> source, method, review status, limitation, intended use, and appropriate
> next action.
>
> PEL is working on methods for assessing whether AI-mediated outputs are
> trustworthy, usable, context-appropriate, and safe enough for real-world
> decision settings — especially when the output is delivered through natural
> language and used by patients, clinicians, teachers, or other non-technical
> users. I’d be glad to bring that experience into the group’s work where
> it’s useful.
>
> I’m new to W3C and the Semantic Web community, so my first goal is to
> learn from existing practice. As a concrete first contribution, I’d be
> happy to draft a short use-case sketch — for example, on how provenance and
> credentialing patterns might help distinguish stronger from weaker
> AI-mediated scientific outputs — for the group to react to, if that would
> be useful. I’d also be very grateful for pointers to examples, draft
> specifications, or related W3C Community Group work where provenance
> metadata is explicitly linked to trust or reliability, especially in
> agentic AI and natural-language interface contexts.
>
> With best wishes,
>
> Steve
>
> --
>
> *Dr Steve J. Watt, MD, MPhil, MRCP*
>
> Founder | People’s Evidence Lab, Inc.
>
> *We make evidence travel — from insight to trusted action*
>
> People <https://www.peoplesevidencelab.com/>’
> <https://www.peoplesevidencelab.com/>s Evidence Lab
> <https://www.peoplesevidencelab.com/>
>
> stevewatt13@peoplesevidencelab.com | +1 (914) 817-1765 | LinkedIn
> <http://www.linkedin.com/in/stephen-j-watt-md>
>
>
> On Tue, Apr 21, 2026 at 2:18 PM Paola Di Maio <paoladimaio10@gmail.com>
> wrote:
>
>> Stephen
>>
>> Regarding the automated welcome post, it looks like although the
>> github file PR was approved, it was committed to the wrong folder
>> have been wrestling with dysfunctional github features *or is it me? -
>> thanks for informing me it was not working and glad you got the
>> link to the welcome wiki page, which is what counts.
>>
>> It would be great if you could post a brief intro to your org, your
>> interest in web standards, with considerations regarding advancing any
>> draft spec , or how you d like to engage with other
>> CG participants, related initiatives
>> or anything in that direction.
>>
>> The CG needs to encourage participation. especially of companies/org
>> entities which may have resources to devote to advancing draft
>> specifications,
>> as well as anything else that may be of interest of course, provided
>> it is related to the scope of work
>>
>> Please let me know if you have questions and to be reading your posts
>>
>> Paola DI MAIO
>> I
>>
>> On Mon, Apr 20, 2026 at 8:41 AM Stephen Watt
>> <stevewatt13@peoplesevidencelab.com> wrote:
>> >
>> > Dear Paola,
>> >
>> >
>> > Thank you very much for the welcome, and for sending the orientation
>> page. I found it extremely helpful.
>> >
>> >
>> > I do not believe I received the automated onboarding email, and I
>> checked junk as well, so I am very glad you shared the link directly.
>> >
>> >
>> > By way of introduction: I am a physician and pharmaceutical medic, and
>> founder of People's Evidence Lab. My background is in evidence generation,
>> benefit–risk, patient-centred research, and AI-enabled decision support. I
>> am very new to W3C and the Semantic Web community, so I am joining very
>> much in learning mode.
>> >
>> >
>> > My interest in the group is in how provenance and credentialing models
>> might help humans, agents, and LLM interfaces distinguish stronger from
>> weaker outputs in scientific and AI-mediated workflows — especially when
>> source data, methods, or evaluation history are incomplete, opaque, or do
>> not travel with the output itself. I am particularly interested in W3C work
>> such as PROV-O and Verifiable Credentials, alongside related ontology work
>> such as PAV.
>> >
>> >
>> > If you have any guidance on what is most useful to post first — for
>> example a short introduction, a use-case sketch, or a question to the list
>> — I would really appreciate it. I would be very happy to post a short note
>> to the mailing list.
>> >
>> >
>> > With thanks again for the warm welcome,
>> >
>> >
>> > Steve
>> >
>> >
>> >
>> > Dr Steve J. Watt, MD, MPhil, MRCP
>> >
>> > Founder | People’s Evidence Lab, Inc.
>> >
>> > We make evidence travel — from insight to trusted action
>> >
>> > https://www.peoplesevidencelab.com/
>> >
>> > stevewatt13@peoplesevidencelab.com | +1 (914) 817-1765 |
>> www.linkedin.com/in/stephen-j-watt-md
>> >
>> >
>> > ________________________________
>> > From: Paola Di Maio <paola.dimaio@gmail.com>
>> > Sent: Friday, April 17, 2026 11:19:11 PM
>> > To: Stephen Watt <stevewatt13@peoplesevidencelab.com>
>> > Subject: Welcome , Steven to the AI KR (Artificial Intelligence
>> Knowledge Representation) Community Group
>> >
>> > Thanks for joining and welcome Steven
>> >
>> > Plese introduce yourself if you like on the list, and let us know more
>> > about your organisation, your interest and plans
>> >
>> > Here is an orientation page,  please let me know if you have an
>> questions
>> > https://www.w3.org/community/aikr/wiki/Welcome_Post
>> >
>> > An automated welcome/onboarding email should have been sent by the
>> > system, can you confirm?
>> >
>> > Paola Di Maio,
>> > Chair
>> >
>> >
>> > On Tue, Apr 14, 2026 at 7:40 PM W3C Accounts Team <noreply@w3.org>
>> wrote:
>> > >
>> > > Dear Chair,
>> > > Dear Participant,
>> > >
>> > > On 2026-04-14 11:40 UTC, Stephen Watt became a participant in the AI
>> KR (Artificial Intelligence Knowledge Representation) Community Group,
>> representing People’s Evidence Lab.
>> > >
>> > >
>> > > Thank you,
>> > >
>> > > --
>> > > W3C Accounts Team
>> > > Please do not reply to this email, it is automatically generated.
>> > > Messages sent to this address will not be answered.
>> > >
>> > > If you need assistance or have questions, please contact
>> sysreq@w3.org.
>> > >
>>
>