Re: COG - AI Call scheduled September 21, 2020 at 1 PM London time.

I very much hope the call will be participatory and look to everyone to contribute to the discussion. Cognitive AI is still very much in its infancy, as for far too long many researchers have focused on their own discipline forgoing the opportunities for interdisciplinary exchanges of ideas and perspectives across the different camps, e.g. for deep learning, semantic web, computational linguistics, and cognitive science.

I believe that huge opportunities will be created through combining symbolic and statistical approaches, when paying close attention to the advances in the cognitive sciences, e.g. to mimic human memory and reasoning, and the way that humans and other animals are constantly looking for the unexpected based upon our unconscious ability to learn regularities.

How can we reach out to attract a widening circle of people to take part in the Cognitive AI CG?  We need people who can get involved in the technical work, people who can help with identifying and analysing the potential for application areas, people who are good at outreach, explaining the relationships to other branches of AI, and the societal challenges around ethical AI, e.g. transparency of reasoning, how to avoid bias, the benefits of human machine collaboration, and why AI shouldn’t be used to replace people and put them out of work rather than helping people to do a better job. How can the Cognitive AI CG and the AIKR CG support each other for this and related aspects?

Another question is how Cognitive AI can benefit from the work on AI hardware, and opportunities for a dialogue  with W3C activities on exposing AI hardware to Web applications, see:

 https://www.w3.org/2020/06/machine-learning-workshop/ <https://www.w3.org/2020/06/machine-learning-workshop/>

This would include, for instance, ideas for using Deep Learning and Cognitive AI in complementary roles, and for efficient implementations of holographic theories of memory following work by Kelly, et al., see:

 http://act-r.psy.cmu.edu/wordpress/wp-content/uploads/2016/08/matthew-kelly-ACT-R-PGSS-talk.pdf <http://act-r.psy.cmu.edu/wordpress/wp-content/uploads/2016/08/matthew-kelly-ACT-R-PGSS-talk.pdf>

Best regards,
Dave

> On 14 Sep 2020, at 04:04, Paola Di Maio <paola.dimaio@gmail.com> wrote:
> 
> Thank you Ronald for setting this up
> I should be able to make it
> 
> For me, AI has always been cognitive AI - probably because I started learning AI
> from knowledge based systems (long ago), I never felt the necessity to call AI cognitive
> (i understand that given the spike of ML this disambiguation may be useful now)
> at the same time, I have been practicing all along for thirty years (unlabelled, and unaware perhaps
> that a discipline was forming )
> 
> My suggestion is to try make the call a bit participatory, make sure that whoever is on the call
> can contribute to the call agenda and bring in their perspective/experience to whatever is the agenda goal
> 
> Its good to learn but  to "éducate'' sounds as if people dont know about cogAI already, like a bit patronizing perhaps?
> what about co-learn :-)  
> 
> I am a constructivist by nature
> 
> P
> 
> 
> 
> On Mon, Sep 14, 2020 at 2:38 AM Ronald Reck <rreck@rrecktek.com <mailto:rreck@rrecktek.com>> wrote:
> Hello Cognitive AI Community group,
> 
> Our first conference call is scheduled for
> September 21, 2020 at 1 PM London time.
> Contact information will be sent out later this week.
> 
> The agenda is as follows:
> 
> 1. Educate - gentle introduction to the topic of cog-ai
> 
> 2. Outreach - Discuss how to extend reach out beyond
> our current group. We seek to bridge the technical
> clique mindsets as the topic is interdisciplinary.
> It involves traditional AI (deep learning),
> natural language processing, logic, pragmatics,
> cognitive science, and semantic web.
> 
> 3. Use cases - Understand and document business cases
> especially around machine & human collaboration. This hopes
> to drive funding.
> 
> 4. AI ethics / explainability
> 
> As we are still in the early stages, there is
> much exciting work to be done, we need to consider
> how to involve different orientations to incubate
> a paradigm shift so that future intellectual effort
> is exerted in the most effectively toward AI's ability 
> to enhance society.
> 
> Please feel free to comment or make suggestions!
> 
> -Ronald P. Reck
> 
> 

Dave Raggett <dsr@w3.org> http://www.w3.org/People/Raggett
W3C Data Activity Lead & W3C champion for the Web of things