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Thursday, August 14, 2025

Beyond Artificial Intelligence: Making AI "Care" Better?

Throwback Thursday: A year ago, I wrote about “work fingerprints”, the unique blend of skills, experiences, and insights that define us as humans in what is becoming a world that is increasingly being shaped by AI.
 
Fast-forward to today: As a part of my morning reading ritual, I took a deep dive into some recent articles and discussions on what makes us human and what the pathways are to enhance human connection.

Some ideas that stood out for me were:

"The challenge is designing AI systems that enhance human interaction rather than erode it."

"True intelligence isn’t the ability to generate information. True intelligence is the ability to generate emotion. The future of AI won't be about how fast it computes — but how deeply it connects."

"If, as we anticipate, human goals and preferences become increasingly co-constructed through interaction with AI systems, rather than arising separately from them, then AI safety requires paying as much attention to the psychology of human-AI relationships as the wider societal factors and technical methods of alignment. We now highlight core ingredients of this emergent psychological ecosystem: humans as social animals and AI systems as increasingly capable social agents."

This conversation has only become more urgent. I don't think the real risk of AI is replacement. I think it is the erasure of our unique fingerprints. It is the things that each of us leaves behind as breadcrumbs that highlight the mix of who we are through our choices, decisions, and connections with other humans.

In my work designing RPL pathways and competency-based frameworks, I have seen how often human potential goes unrecognized; not because it is missing, but because 'systems' overlook the stories behind it.

Given that, how do we ensure that technology enriches, not erodes, our fingerprints and human connections? If the next revolution is emotional, not technical, how do we make sure we are building a human-first AI ecosystem that doesn't overlook the human?

Well, the ‘godfather of AI’, Geoffrey Hinton, presented an intriguing solution in an interview with CNN where he suggested we build "maternal instincts” into AI models, so “they really care about people”. He goes on to say:

“Evolution obviously made a pretty good job with mothers. AI developers have been focusing on making these things more intelligent. But intelligence is just one part of a being. We need to make them have empathy towards us. And we don’t know how to do that yet. But evolution managed and we should be able to do it too.”

So, the challenge ahead is not (just) about making AI think better, but to help it "care" better?

#WorkFingerprints #FingerprintsInAnAIWorld #HumanFirstAI #MotherAI #EmotionalIntelligence #DigitalEthics #AIEthics

Friday, July 11, 2025

Recognition of Prior Learning (RPL/PLAR) is Opening Doors for Many

One of the most common misconceptions I often hear about Recognition of Prior Learning (RPL) or Prior Learning Assessment and Recognition (PLAR) is that it's a shortcut. That it's the easy way out that lowers the standards.

But it's not.

Ask RPL Advisors and Mentors about the kind of investment that's required to help applicants understand the competency standards and collect and document evidence that maps meaningfully to those standards.

Ask successful RPL/PLAR graduates about the kind of time and effort (and emotions) it takes to prepare for a structured RPL Assessment.

Ask Assessors how much training and mindset-shifting it takes to move from checking boxes to 'assuming competence first', and then doing assessments with fairness and intention.

And ask the RPL experts and consultants, like me, who work behind the scenes with subject matter experts, industry committees, sector advisory groups and regulators to build the competency frameworks and assessment tools, develop RPL requirements and procedures, and ensure that the process and tools are valid and defensible. It takes months of consultation, alignment, and consensus-building across the industry to make sure the bar is high, transparent, and trusted.

None of it is easy. 

In fact, sometimes "RPL-ing" a requirement can take longer and it often demands more reflection than attending a formal education program.

RPL doesn’t lower the standards bar, it simply focuses on various ways that people can demonstrate that they meet the standards.

Instead of forcing everyone through the same gates in the same sequence, RPL opens multiple doors by recognizing that learning happens in diverse and deeply valuable ways on the job, in life, through community, through life challenges. None of the doors are shortcuts but they do offer diversity, inclusion, fairness, relevance, and rigour.


Image by Arek Socha from Pixabay

RPL/PLAR is all about creating pathways that meet people where they are, not where the system expects them to start. 

The bar stays high. The route and assessment becomes more human-centred.


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Recognition of Prior Learning (RPL) is known by many names in different countries. See: Wikipedia.
For more information on RPL/PLAR in Canada: CAPLA - https://capla.ca/
The Canadian Association for Prior Learning Assessment (CAPLA) is the national
voice for the recognition of prior learning (RPL) in Canada. CAPLA is a
Membership-based Association that offers learning and professional development
resources for RPL/PLAR practitioners.



#RPL #PLAR #VPL #CPL #RecognitionFirst #HumanPotential #LearningAndDevelopment #LifelongLearning #WorkplaceLearning #AlternatePathways

Wednesday, June 25, 2025

Reclaiming the 'Learning' in RPL/PLAR

Thank you to the Canadian Association for Prior Learning Assessment (CAPLA), the Community of Learning (CoL) team and CanCred.ca 🇨🇦 for the kind recognition following my recent session:

"Reclaiming the 'L' in RPL/PLAR – Why Experience Alone Isn’t Enough."

https://passport.cancred.ca/app/badge/info/33457

It was meaningful to revisit the core principles and foundations of RPL/PLAR and focus on what lies at its heart: the recognition of real, reflective learning, not just accumulated experience. 

I set out to peel back the layers of RPL and my session covered: 
- The key differences between experience and learning
- Three common “experience traps” we fall into
- The consequences of mistaking experience for learning for equity, quality, and growth
- And my practical, best practices for surfacing learning that is often hidden, informal, or unspoken

It was especially rewarding to see meaningful conversations unfold in the breakout rooms from experienced practitioners and those just entering the field. Everyone shared generously and reminded me how powerful any community can be when we stay grounded in principles that matter.

hashtagRPL hashtagPLAR hashtagVPL hashtagRecognition hashtagPriorLearningAndAssessment hashtagRecognitionOfPriorLearning hashtagLearningOverExperience hashtagReclaimingLearning hashtagCAPLA hashtagCAPLACOL hashtagCommunity hashtagRPLPractice

You can find the event content including my Presentation deck and the session recording in the Badge details. https://passport.cancred.ca/app/badge/info/33457