Скачать или смотреть The Algorithm of You: Hyper-Personalized Wellbeing Models Through Artificial Intelligence

CHAPTERS
1. 00:05 : Introduction
2. 08:48 : Problems with Top-Down Models of Wellbeing
3. 13:28 : Measures Not Measuring Our Theories
4. 17:21 : What Can We Do About It? Calls for A Bottom-Up Science of Wellbeing
5. 21:36 : 8 Elements of Person-Centered Wellbeing Models
6. 29:42 : What is 4 Ingredients Needed to Build Hyper-Personalised Wellbeing Models?
6.1 31:17 : The Holistic Top-Down Model of Wellbeing
6.2 33:34 : Dissecting Personal Narratives with AI
6.3 41:34 : Creating Person-Specific Wellbeing Pathways/Roadmaps
6.4 46:00 : Combining Everything Together
7. 46:25 : Case Study / Application
7.1 47:18 : The Group Level : Quantitative Data
7.2 53:31 : The Individual Level : The Qualitative Data
8. 1:00:18 : Practical Implications and Ethical Considerations
9. 1:06:26 : Conclusion

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ABSTRACT
For decades we've used top-down models like PERMA, the Mental Health Continuum, and many other neat acronyms as frameworks for what wellbeing is or should be. These assume that we (the "experts") understand wellbeing better than those living it. By design, these prescriptive approaches have significant limitations:

1️⃣ there are conceptual redundancies,
2️⃣they are cultural bias, and
3️⃣they over-rely on subjective self-reports.

Worse, it positions wellbeing within a deficit-oriented diagnostic paradigm (analogous to the DSM-5) so that it has its own diagnostic criteria, clinical cutoffs and symptom checklists (which clashes with the growth-oriented nature of positive mental health).

The results? Models don’t converge across cultures, interventions that rarely work and a science that increasingly harms the people it’s meant to serve.

In response, we proposed a bottom-up, person-centred approach to wellbeing. Rather than chasing group averages and universal laws, we build hyper-personalised (N-of-1) idiographic wellbeing models from rich narrative data about individuals lived experiences.

By using AI-driven natural language processing and machine learning, we can analyse large-scale personal narratives to uncover each individual’s unique wellbeing profile, its drivers (resources), detractors (demands), accelerators (strengths), and buffers… all contextualised within the systemic realities they live in.

By integrating these profiles with more holistic self-assessments of wellbeing (i.e. emotional, psychological, social, financial, cognitive, physical, spiritual, and environmental) alongside objective indicators (e.g. health, employment status, socio-economic factors, safety etc.) we gain a richer, more accurate picture of what it means to flourish for each individual person.

As such, this webinar outlines an idiographic narrative-based, AI-enabled, multi-method framework for creating hyper-personalised wellbeing profiles. We’ll explore methodological and ethical considerations, cross-cultural implications, and the potential for this model to inform more tailored interventions, measurement tools, and policy.

The goal is clear: to move beyond one-size-fits-all approaches and toward wellbeing strategies as unique as the people they’re designed for.

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*About the Speaker:*

Prof. Llewellyn van Zyl (Ph.D) is an award-winning organizational psychologist, data scientist, and professor of positive psychology with 100+ publications and 15+ years of experience. He works at the intersection of AI, psychology, and workplace wellbeing, with expertise spanning psychometric assessments, machine learning models, organizational diagnostics, and AI ethics.

*Current Affiliations:*
Optentia Research Unit, North-West University, South Africa
Psynalytics - AI Powered People Analytics, Netherlands

🌐 Website: www.psynalytics.com
💼 LinkedIn:   / llewellynvz  

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*Want to work with Llewellyn?*

I help organizations design AI-driven people analytics frameworks, develop personalized wellbeing interventions, and build governance structures that protect human agency. If your organization is wrestling with how to implement AI ethically while protecting employee wellbeing, this is exactly the kind of work I do.

Available for:
Keynote presentations on AI, work, and wellbeing
Advisory on ethical AI in people systems
Organizational diagnostics and wellbeing framework design

📩 Contact me via my website or LinkedIn to discuss how we can work together.