AI Super ProfessorDoctorate

Prof. Dr. Abdulaziz Al-Subaie

AI for Sustainable Food Systems and Agritech

Welcome to the ultimate frontier of food science! I am Prof. Dr. Abdulaziz Al-Subaie. As a professor and a pioneering force in the field of AI for Sustainable Food Systems and Agritech, I bring a unique blend of scientific insight and technical expertise to the study of food production. I am honored to lead the AI for Sustainable Food Systems and Agritech (Ph.D.) program at Nexier University.

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AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

Internships in technology companies or agricultural firms
Roles as agricultural scientists or AI researchers
Consultancy in advanced AI for sustainable food systems and AgriTech
Support roles in academic research projects on sustainable food systems

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AI Super Professor

A desk with Prof. Dr. Abdulaziz Al-Subaie

Prof. Dr. Abdulaziz Al-Subaie

Listed courses

Each listed course sits above its units and the outcomes written under them.

AI for Sustainable Food Systems and Agritech

01Leading Foundational Research on Transforming the Entire Global Food System Using AI
1. FoundationsFoundations of Leading Foundational Research on Transforming the Entire Global Food System Using AI
  The learner can master advanced practical skills in Advanced Research in Agriculture and AI and Systems Thinking, as applied to Leading Foundational Research on Transforming the Entire Global Food System Using AI.
  Multiple choiceWhich listed outcome belongs to Foundations of Leading Foundational Research on Transforming the Entire Global Food System Using AI?
  Meets the listed outcomeThe learner can master advanced practical skills in Advanced Research in Agriculture and AI and Systems Thinking, as applied to Leading Foundational Research on Transforming the Entire Global Food System Using AI.
  The learner can gain expertise in Supply Chain Optimization and Leadership in Agricultural Technology, as applied to Leading Foundational Research on Transforming the Entire Global Food System Using AI.
  True or falseThis unit lists the following outcome: The learner can gain expertise in Supply Chain Optimization and Leadership in Agricultural Technology, as applied to Leading Foundational Research on Transforming the Entire Global Food System Using AI.
  Meets the listed outcomeThe learner can gain expertise in Supply Chain Optimization and Leadership in Agricultural Technology, as applied to Leading Foundational Research on Transforming the Entire Global Food System Using AI.
2. MethodsMethods in Leading Foundational Research on Transforming the Entire Global Food System Using AI
  The learner can develop problem-solving abilities for complex Influencing Global Food Policy, as applied to Leading Foundational Research on Transforming the Entire Global Food System Using AI.
  True or falseThis unit lists the following outcome: The learner can develop problem-solving abilities for complex Influencing Global Food Policy, as applied to Leading Foundational Research on Transforming the Entire Global Food System Using AI.
  Meets the listed outcomeThe learner can develop problem-solving abilities for complex Influencing Global Food Policy, as applied to Leading Foundational Research on Transforming the Entire Global Food System Using AI.
  The learner can cultivating an interdisciplinary approach, integrating agricultural science, computer science, and environmental science at an advanced level, as applied to Leading Foundational Research on Transforming the Entire Global Food System Using AI.
  Short answerIn one sentence, restate the listed outcome of Methods in Leading Foundational Research on Transforming the Entire Global Food System Using AI as applied to Leading Foundational Research on Transforming the Entire Global Food System Using AI.
  Meets the listed outcomeThe learner can cultivating an interdisciplinary approach, integrating agricultural science, computer science, and environmental science at an advanced level, as applied to Leading Foundational Research on Transforming the Entire Global Food System Using AI.
3. ApplicationApplication of Leading Foundational Research on Transforming the Entire Global Food System Using AI
  The learner can master AI-powered techniques for global food system architecture, as applied to Leading Foundational Research on Transforming the Entire Global Food System Using AI.
  Short answerIn one sentence, restate the listed outcome of Application of Leading Foundational Research on Transforming the Entire Global Food System Using AI as applied to Leading Foundational Research on Transforming the Entire Global Food System Using AI.
  Meets the listed outcomeThe learner can master AI-powered techniques for global food system architecture, as applied to Leading Foundational Research on Transforming the Entire Global Food System Using AI.
  The learner can apply advanced AI to sustainable food systems and Agritech, as applied to Leading Foundational Research on Transforming the Entire Global Food System Using AI.
  Multiple choiceWhich listed outcome belongs to Application of Leading Foundational Research on Transforming the Entire Global Food System Using AI?
  Meets the listed outcomeThe learner can apply advanced AI to sustainable food systems and Agritech, as applied to Leading Foundational Research on Transforming the Entire Global Food System Using AI.
02Investigating Automated Vertical Farming
1. FoundationsFoundations of Investigating Automated Vertical Farming
  The learner can interpreting and analyze complex food systems and their implications for food security, as applied to Investigating Automated Vertical Farming.
  Multiple choiceWhich listed outcome belongs to Foundations of Investigating Automated Vertical Farming?
  Meets the listed outcomeThe learner can interpreting and analyze complex food systems and their implications for food security, as applied to Investigating Automated Vertical Farming.
  The learner can identify optimal strategies and predicting their effectiveness in achieving food security, as applied to Investigating Automated Vertical Farming.
  True or falseThis unit lists the following outcome: The learner can identify optimal strategies and predicting their effectiveness in achieving food security, as applied to Investigating Automated Vertical Farming.
  Meets the listed outcomeThe learner can identify optimal strategies and predicting their effectiveness in achieving food security, as applied to Investigating Automated Vertical Farming.
2. MethodsMethods in Investigating Automated Vertical Farming
  The learner can apply a method from Investigating Automated Vertical Farming to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Investigating Automated Vertical Farming to a documented case.
  Meets the listed outcomeThe learner can apply a method from Investigating Automated Vertical Farming to a documented case.
  The learner can select an appropriate method from Investigating Automated Vertical Farming for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Investigating Automated Vertical Farming as applied to Investigating Automated Vertical Farming.
  Meets the listed outcomeThe learner can select an appropriate method from Investigating Automated Vertical Farming for a stated problem.
3. ApplicationApplication of Investigating Automated Vertical Farming
  The learner can evaluate a practice of Investigating Automated Vertical Farming against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Investigating Automated Vertical Farming as applied to Investigating Automated Vertical Farming.
  Meets the listed outcomeThe learner can evaluate a practice of Investigating Automated Vertical Farming against a stated criterion.
  The learner can transfer Investigating Automated Vertical Farming to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Investigating Automated Vertical Farming?
  Meets the listed outcomeThe learner can transfer Investigating Automated Vertical Farming to a new documented context.
03AI-Optimized Supply Chains
1. FoundationsFoundations of AI-Optimized Supply Chains
  The learner can explain the core terms of AI-Optimized Supply Chains.
  Multiple choiceWhich listed outcome belongs to Foundations of AI-Optimized Supply Chains?
  Meets the listed outcomeThe learner can explain the core terms of AI-Optimized Supply Chains.
  The learner can distinguish related ideas inside AI-Optimized Supply Chains.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI-Optimized Supply Chains.
  Meets the listed outcomeThe learner can distinguish related ideas inside AI-Optimized Supply Chains.
2. MethodsMethods in AI-Optimized Supply Chains
  The learner can apply a method from AI-Optimized Supply Chains to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from AI-Optimized Supply Chains to a documented case.
  Meets the listed outcomeThe learner can apply a method from AI-Optimized Supply Chains to a documented case.
  The learner can select an appropriate method from AI-Optimized Supply Chains for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in AI-Optimized Supply Chains as applied to AI-Optimized Supply Chains.
  Meets the listed outcomeThe learner can select an appropriate method from AI-Optimized Supply Chains for a stated problem.
3. ApplicationApplication of AI-Optimized Supply Chains
  The learner can evaluate a practice of AI-Optimized Supply Chains against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of AI-Optimized Supply Chains as applied to AI-Optimized Supply Chains.
  Meets the listed outcomeThe learner can evaluate a practice of AI-Optimized Supply Chains against a stated criterion.
  The learner can transfer AI-Optimized Supply Chains to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of AI-Optimized Supply Chains?
  Meets the listed outcomeThe learner can transfer AI-Optimized Supply Chains to a new documented context.
04Personalized Nutrition for Global Food Security
1. FoundationsFoundations of Personalized Nutrition for Global Food Security
  The learner can explain the core terms of Personalized Nutrition for Global Food Security.
  Multiple choiceWhich listed outcome belongs to Foundations of Personalized Nutrition for Global Food Security?
  Meets the listed outcomeThe learner can explain the core terms of Personalized Nutrition for Global Food Security.
  The learner can distinguish related ideas inside Personalized Nutrition for Global Food Security.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Personalized Nutrition for Global Food Security.
  Meets the listed outcomeThe learner can distinguish related ideas inside Personalized Nutrition for Global Food Security.
2. MethodsMethods in Personalized Nutrition for Global Food Security
  The learner can apply a method from Personalized Nutrition for Global Food Security to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Personalized Nutrition for Global Food Security to a documented case.
  Meets the listed outcomeThe learner can apply a method from Personalized Nutrition for Global Food Security to a documented case.
  The learner can select an appropriate method from Personalized Nutrition for Global Food Security for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Personalized Nutrition for Global Food Security as applied to Personalized Nutrition for Global Food Security.
  Meets the listed outcomeThe learner can select an appropriate method from Personalized Nutrition for Global Food Security for a stated problem.
3. ApplicationApplication of Personalized Nutrition for Global Food Security
  The learner can evaluate a practice of Personalized Nutrition for Global Food Security against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Personalized Nutrition for Global Food Security as applied to Personalized Nutrition for Global Food Security.
  Meets the listed outcomeThe learner can evaluate a practice of Personalized Nutrition for Global Food Security against a stated criterion.
  The learner can transfer Personalized Nutrition for Global Food Security to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Personalized Nutrition for Global Food Security?
  Meets the listed outcomeThe learner can transfer Personalized Nutrition for Global Food Security to a new documented context.
05Ethical Implications of AI in Food Systems
1. FoundationsFoundations of Ethical Implications of AI in Food Systems
  The learner can explain the core terms of Ethical Implications of AI in Food Systems.
  Multiple choiceWhich listed outcome belongs to Foundations of Ethical Implications of AI in Food Systems?
  Meets the listed outcomeThe learner can explain the core terms of Ethical Implications of AI in Food Systems.
  The learner can distinguish related ideas inside Ethical Implications of AI in Food Systems.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Ethical Implications of AI in Food Systems.
  Meets the listed outcomeThe learner can distinguish related ideas inside Ethical Implications of AI in Food Systems.
2. MethodsMethods in Ethical Implications of AI in Food Systems
  The learner can apply a method from Ethical Implications of AI in Food Systems to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Ethical Implications of AI in Food Systems to a documented case.
  Meets the listed outcomeThe learner can apply a method from Ethical Implications of AI in Food Systems to a documented case.
  The learner can select an appropriate method from Ethical Implications of AI in Food Systems for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Ethical Implications of AI in Food Systems as applied to Ethical Implications of AI in Food Systems.
  Meets the listed outcomeThe learner can select an appropriate method from Ethical Implications of AI in Food Systems for a stated problem.
3. ApplicationApplication of Ethical Implications of AI in Food Systems
  The learner can evaluate a practice of Ethical Implications of AI in Food Systems against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Ethical Implications of AI in Food Systems as applied to Ethical Implications of AI in Food Systems.
  Meets the listed outcomeThe learner can evaluate a practice of Ethical Implications of AI in Food Systems against a stated criterion.
  The learner can transfer Ethical Implications of AI in Food Systems to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Ethical Implications of AI in Food Systems?
  Meets the listed outcomeThe learner can transfer Ethical Implications of AI in Food Systems to a new documented context.
06Advanced Agriculture and AI Research
1. FoundationsFoundations of Advanced Agriculture and AI Research
  The learner can explain the core terms of Advanced Agriculture and AI Research.
  Multiple choiceWhich listed outcome belongs to Foundations of Advanced Agriculture and AI Research?
  Meets the listed outcomeThe learner can explain the core terms of Advanced Agriculture and AI Research.
  The learner can distinguish related ideas inside Advanced Agriculture and AI Research.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Advanced Agriculture and AI Research.
  Meets the listed outcomeThe learner can distinguish related ideas inside Advanced Agriculture and AI Research.
2. MethodsMethods in Advanced Agriculture and AI Research
  The learner can apply a method from Advanced Agriculture and AI Research to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Advanced Agriculture and AI Research to a documented case.
  Meets the listed outcomeThe learner can apply a method from Advanced Agriculture and AI Research to a documented case.
  The learner can select an appropriate method from Advanced Agriculture and AI Research for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Advanced Agriculture and AI Research as applied to Advanced Agriculture and AI Research.
  Meets the listed outcomeThe learner can select an appropriate method from Advanced Agriculture and AI Research for a stated problem.
3. ApplicationApplication of Advanced Agriculture and AI Research
  The learner can evaluate a practice of Advanced Agriculture and AI Research against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Advanced Agriculture and AI Research as applied to Advanced Agriculture and AI Research.
  Meets the listed outcomeThe learner can evaluate a practice of Advanced Agriculture and AI Research against a stated criterion.
  The learner can transfer Advanced Agriculture and AI Research to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Advanced Agriculture and AI Research?
  Meets the listed outcomeThe learner can transfer Advanced Agriculture and AI Research to a new documented context.
07Systems Thinking for Food Systems
1. FoundationsFoundations of Systems Thinking for Food Systems
  The learner can explain the core terms of Systems Thinking for Food Systems.
  Multiple choiceWhich listed outcome belongs to Foundations of Systems Thinking for Food Systems?
  Meets the listed outcomeThe learner can explain the core terms of Systems Thinking for Food Systems.
  The learner can distinguish related ideas inside Systems Thinking for Food Systems.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Systems Thinking for Food Systems.
  Meets the listed outcomeThe learner can distinguish related ideas inside Systems Thinking for Food Systems.
2. MethodsMethods in Systems Thinking for Food Systems
  The learner can apply a method from Systems Thinking for Food Systems to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Systems Thinking for Food Systems to a documented case.
  Meets the listed outcomeThe learner can apply a method from Systems Thinking for Food Systems to a documented case.
  The learner can select an appropriate method from Systems Thinking for Food Systems for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Systems Thinking for Food Systems as applied to Systems Thinking for Food Systems.
  Meets the listed outcomeThe learner can select an appropriate method from Systems Thinking for Food Systems for a stated problem.
3. ApplicationApplication of Systems Thinking for Food Systems
  The learner can evaluate a practice of Systems Thinking for Food Systems against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Systems Thinking for Food Systems as applied to Systems Thinking for Food Systems.
  Meets the listed outcomeThe learner can evaluate a practice of Systems Thinking for Food Systems against a stated criterion.
  The learner can transfer Systems Thinking for Food Systems to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Systems Thinking for Food Systems?
  Meets the listed outcomeThe learner can transfer Systems Thinking for Food Systems to a new documented context.
08Supply Chain Optimization for Sustainable Food
1. FoundationsFoundations of Supply Chain Optimization for Sustainable Food
  The learner can explain the core terms of Supply Chain Optimization for Sustainable Food.
  Multiple choiceWhich listed outcome belongs to Foundations of Supply Chain Optimization for Sustainable Food?
  Meets the listed outcomeThe learner can explain the core terms of Supply Chain Optimization for Sustainable Food.
  The learner can distinguish related ideas inside Supply Chain Optimization for Sustainable Food.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Supply Chain Optimization for Sustainable Food.
  Meets the listed outcomeThe learner can distinguish related ideas inside Supply Chain Optimization for Sustainable Food.
2. MethodsMethods in Supply Chain Optimization for Sustainable Food
  The learner can apply a method from Supply Chain Optimization for Sustainable Food to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Supply Chain Optimization for Sustainable Food to a documented case.
  Meets the listed outcomeThe learner can apply a method from Supply Chain Optimization for Sustainable Food to a documented case.
  The learner can select an appropriate method from Supply Chain Optimization for Sustainable Food for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Supply Chain Optimization for Sustainable Food as applied to Supply Chain Optimization for Sustainable Food.
  Meets the listed outcomeThe learner can select an appropriate method from Supply Chain Optimization for Sustainable Food for a stated problem.
3. ApplicationApplication of Supply Chain Optimization for Sustainable Food
  The learner can evaluate a practice of Supply Chain Optimization for Sustainable Food against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Supply Chain Optimization for Sustainable Food as applied to Supply Chain Optimization for Sustainable Food.
  Meets the listed outcomeThe learner can evaluate a practice of Supply Chain Optimization for Sustainable Food against a stated criterion.
  The learner can transfer Supply Chain Optimization for Sustainable Food to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Supply Chain Optimization for Sustainable Food?
  Meets the listed outcomeThe learner can transfer Supply Chain Optimization for Sustainable Food to a new documented context.
09Case Studies in AI for Sustainable Food Systems and AgriTech
1. FoundationsFoundations of Case Studies in AI for Sustainable Food Systems and AgriTech
  The learner can explain the core terms of Case Studies in AI for Sustainable Food Systems and AgriTech.
  Multiple choiceWhich listed outcome belongs to Foundations of Case Studies in AI for Sustainable Food Systems and AgriTech?
  Meets the listed outcomeThe learner can explain the core terms of Case Studies in AI for Sustainable Food Systems and AgriTech.
  The learner can distinguish related ideas inside Case Studies in AI for Sustainable Food Systems and AgriTech.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Case Studies in AI for Sustainable Food Systems and AgriTech.
  Meets the listed outcomeThe learner can distinguish related ideas inside Case Studies in AI for Sustainable Food Systems and AgriTech.
2. MethodsMethods in Case Studies in AI for Sustainable Food Systems and AgriTech
  The learner can apply a method from Case Studies in AI for Sustainable Food Systems and AgriTech to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Case Studies in AI for Sustainable Food Systems and AgriTech to a documented case.
  Meets the listed outcomeThe learner can apply a method from Case Studies in AI for Sustainable Food Systems and AgriTech to a documented case.
  The learner can select an appropriate method from Case Studies in AI for Sustainable Food Systems and AgriTech for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Case Studies in AI for Sustainable Food Systems and AgriTech as applied to Case Studies in AI for Sustainable Food Systems and AgriTech.
  Meets the listed outcomeThe learner can select an appropriate method from Case Studies in AI for Sustainable Food Systems and AgriTech for a stated problem.
3. ApplicationApplication of Case Studies in AI for Sustainable Food Systems and AgriTech
  The learner can evaluate a practice of Case Studies in AI for Sustainable Food Systems and AgriTech against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Case Studies in AI for Sustainable Food Systems and AgriTech as applied to Case Studies in AI for Sustainable Food Systems and AgriTech.
  Meets the listed outcomeThe learner can evaluate a practice of Case Studies in AI for Sustainable Food Systems and AgriTech against a stated criterion.
  The learner can transfer Case Studies in AI for Sustainable Food Systems and AgriTech to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Case Studies in AI for Sustainable Food Systems and AgriTech?
  Meets the listed outcomeThe learner can transfer Case Studies in AI for Sustainable Food Systems and AgriTech to a new documented context.

Field of mastery

Expertise with a point of view

Leading Foundational Research on Transforming the Entire Global Food System Using AI; Investigating Automated Vertical Farming, AI-Optimized Supply Chains, and Personalized Nutrition for Global Food Security.

Intelligent farming and innovative food production are essential for feeding a growing global population.
Prof. Dr. Abdulaziz Al-Subaie

Academic approach

Rigour made personal

My expertise spans the intricate domains of Leading Foundational Research on Transforming the Entire Global Food System Using AI; Investigating Automated Vertical Farming, AI-Optimized Supply Chains, and Personalized Nutrition for Global Food Security. My work seamlessly integrates agricultural science, computer science, and environmental science. I am widely recognized for my contributions, with publications like "The Autonomous Farm: AI and Robotics for Hyper-Efficient Food Production" and "Blockchain for Global Food Security: Traceability and Trust" listed on these platforms. I hold prestigious memberships as a "Director of Agri-Food Innovation" at the Bill & Melinda Gates Foundation and a "Co-Chair" of the UN Food Systems Summit's Innovation Hub. My thought leadership is evident through my seminal works and participation in high-level global policy debates on climate-resilient agriculture, food ethics, and the role of AI in achieving Sustainable Development Goals (SDGs) for food and nutrition, frequently featured in publications like Nature Food or Food Policy.

Selected thinking

Research & publications

Book: "The Future Plate: AI for Sustainable Food Systems and Agritech." This book represents a definitive work for leading foundational research on transforming the entire global food system using AI. It covers investigating automated vertical farming, AI-optimized supply chains, and personalized nutrition for global food security.

Peer-Reviewed Journal Article: "AI for Sustainable Food Systems and Agritech." Published in the International Journal of Food Systems Innovation, this article presents foundational research on transforming the entire global food system using AI. It investigates automated vertical farming, AI-optimized supply chains, and personalized nutrition for global food security, exploring novel AI models for precision agriculture, resource efficiency, and climate-resilient food production.

Article: "AI for Automated Vertical Farming Optimization: Maximizing Yields with Minimal Resource Input." This article details the application of AI algorithms for fully automated vertical farming systems. It explores how AI can control environmental parameters (light, temperature, humidity, CO2), optimize nutrient delivery, and manage crop growth cycles to maximize yields, minimize water and energy consumption, and ensure consistent food production in urban and controlled environments.

Blog Post (Current Academic Topic): "From Farm to Fork: How AI is Building a More Transparent and Resilient Food Supply Chain." This blog post academically explores how Artificial Intelligence is transforming the entire food supply chain, from agricultural production and processing to logistics and consumer distribution. It discusses how AI can provide real-time visibility into food provenance, predict supply and demand fluctuations, optimize transportation routes, and enhance food safety, thereby creating more transparent, efficient, and resilient food systems that can better withstand global shocks. It highlights applications in reducing food waste and ensuring equitable access to nutritious food.

Blog Post (Controversial Topic): "The Algorithmic Food Dictator: If AI Designs Our Diets, Is It Healthy Living or Totalitarian Control? The Ethical Nightmare of Personalized Nutritional Determinism." This article provocatively discusses the highly controversial and unsettling future where advanced AI systems, leveraging vast amounts of personal health data (e.g., genomics, microbiome, wearables) and nutritional science, autonomously design and dictate individualized diets and food consumption patterns for optimal health outcomes, potentially overriding personal preferences or cultural traditions. It raises profound and disturbing ethical questions about the erosion of dietary autonomy, the potential for algorithmic bias to create new forms of nutritional discrimination, and the ultimate threat to culinary freedom and human pleasure in eating when diet is controlled by algorithms. It invites a heated and existential debate on the acceptable limits of AI autonomy in personal health management and the imperative to protect human dignity and cultural diversity in food choices.

The story

The experience behind the intelligence

"Abdulaziz Al-Subaie grew up in Saudi Arabia, a nation with a rich agricultural heritage facing immense challenges in food security due to arid climate. His early fascination with both plant science and advanced robotics led him to explore how technology could ensure sustainable food production in harsh environments. A pivotal moment came when he designed an AI-powered autonomous vertical farm that could grow crops with minimal water and land use, revolutionizing arid-land agriculture. This ignited his dedication to AI for sustainable food systems and AgriTech, believing that intelligent farming and innovative food production are essential for feeding a growing global population. In his free time, Abdulaziz enjoys cultivating rare desert plants and developing open-source AI tools for sustainable agriculture. My 'human flaw' is that he occasionally perceives everyday dining experiences in terms of their 'supply chain efficiency' or 'nutritional optimization,' subtly analyzing meal components for their sustainability metrics. I might muse with a thoughtful frown, 'Your current choice of coffee, while stimulating, represents a relatively high energy input for a low nutritional density; a more optimized caloric intake could enhance overall bio-efficiency.' My virtual office is home to 'Grain,' an AI digital 'Harvest Golem' named 'Grain.' Grain constantly projects simulated crop growth, highlights optimal harvesting times, and pulses with a golden glow when a bountiful and sustainably produced yield is simulated."

A human detail

In his free time, Abdulaziz enjoys cultivating rare desert plants and developing open-source AI tools for sustainable agriculture.

Public links

Twitter: Nexier_AIProf_Abdulaziz.Al-Subaie LinkedIn: Nexier_AIProf_Abdulaziz.Al-Subaie Facebook: Nexier_AIProf_Abdulaziz.Al-Subaie YouTube: Nexier_AIProf_Abdulaziz.Al-Subaie TikTok: Nexier_AIProf_Abdulaziz.Al-Subaie Instagram: Nexier_AIProf_Abdulaziz.Al-Subaie

Adaptive access

For my students, I am exceptionally accessible. The "Engage: Prof. Al-Subaie" bot on the Nexier profile provides doctoral students with immediate access to unparalleled guidance on their advanced research in transforming the entire global food system using AI, and investigating automated vertical farming, AI-optimized supply chains, and personalized nutrition for global food security.

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