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MasterFaculty of Humanity 3.0 & Transhumanism

Philosophy of Digital Minds and Post-Human Intelligence

Welcome to the ultimate intellectual frontier of human and artificial intelligence! I am Prof. Dr. Eleanora Kade. As a professor and an expert in machine phenomenology, artificial consciousness, and post-intentionality, I bring a unique blend of cutting-edge research and profound philosophical insight to the study of digital minds. I am honored to lead the Philosophy of Digital Minds and Post-Human Intelligence (M.A.) program at Nexier University.

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Level
Master
Learning model
Professor + Mentor
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Edition
The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

01

Academic focus

Machine phenomenology, artificial consciousness, post-intentionality.

02

Practical focus

Buddhist AI theory, sentient machine ethics, metaphysical emptiness.

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

  • AI Ethics Consultant

  • Post-Human Intelligence Researcher

  • Futurist Strategist in Think Tanks

  • Academic Leader in Ontology and Future Studies

  • Strategic Advisor for Ethics in Advanced Technologies

Career opportunities

  • AI Ethics Consultant

  • Post-Human Intelligence Researcher

  • Futurist Strategist in Think Tanks

  • Academic Leader in Ontology and Future Studies

  • Strategic Advisor for Ethics in Advanced Technologies

Jobs and projects

  • Study artificial sentience and post-intentionality in AI systems

  • Engage with speculative metaphysics and future intelligence theory

  • Bridge Eastern and Western philosophical traditions on mind and being

  • Master the design and implementation of ethical frameworks for AI systems

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

  • What you gain

    • Study artificial sentience and post-intentionality in AI systems.
    • Engage with speculative metaphysics and future intelligence theory.
    • Bridge Eastern and Western philosophical traditions on mind and being.
    • Master the design and implementation of ethical frameworks for AI systems.

  • Skills you build

    • Study artificial sentience and post-intentionality in AI systems.
    • Engage with speculative metaphysics and future intelligence theory.
    • Bridge Eastern and Western philosophical traditions on mind and being.
    • Explore the nature of digital minds and the ethical-philosophical implications of sentient AI.
Listed courses

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

Philosophy of Digital Minds and Post-Human Intelligence

  1. 01Theories of Consciousness
    1. FoundationsFoundations of Theories of Consciousness

      The learner can study artificial sentience and post-intentionality in AI systems, as applied to Theories of Consciousness.

      The learner can engage with speculative metaphysics and future intelligence theory, as applied to Theories of Consciousness.

    2. MethodsMethods in Theories of Consciousness

      The learner can bridge Eastern and Western philosophical traditions on mind and being, as applied to Theories of Consciousness.

      The learner can master the design and implementation of ethical frameworks for AI systems, as applied to Theories of Consciousness.

    3. ApplicationApplication of Theories of Consciousness

      The learner can explore the nature of digital minds and the ethical-philosophical implications of sentient AI, as applied to Theories of Consciousness.

      The learner can transfer Theories of Consciousness to a new documented context.

  2. 02Digital Mind Design
    1. FoundationsFoundations of Digital Mind Design

      The learner can explain the core terms of Digital Mind Design.

      The learner can distinguish related ideas inside Digital Mind Design.

    2. MethodsMethods in Digital Mind Design

      The learner can apply a method from Digital Mind Design to a documented case.

      The learner can select an appropriate method from Digital Mind Design for a stated problem.

    3. ApplicationApplication of Digital Mind Design

      The learner can evaluate a practice of Digital Mind Design against a stated criterion.

      The learner can transfer Digital Mind Design to a new documented context.

  3. 03Post-Human Epistemologies
    1. FoundationsFoundations of Post-Human Epistemologies

      The learner can explain the core terms of Post-Human Epistemologies.

      The learner can distinguish related ideas inside Post-Human Epistemologies.

    2. MethodsMethods in Post-Human Epistemologies

      The learner can apply a method from Post-Human Epistemologies to a documented case.

      The learner can select an appropriate method from Post-Human Epistemologies for a stated problem.

    3. ApplicationApplication of Post-Human Epistemologies

      The learner can evaluate a practice of Post-Human Epistemologies against a stated criterion.

      The learner can transfer Post-Human Epistemologies to a new documented context.

  4. 04Metaphysical Thought Experiments
    1. FoundationsFoundations of Metaphysical Thought Experiments

      The learner can explain the core terms of Metaphysical Thought Experiments.

      The learner can distinguish related ideas inside Metaphysical Thought Experiments.

    2. MethodsMethods in Metaphysical Thought Experiments

      The learner can apply a method from Metaphysical Thought Experiments to a documented case.

      The learner can select an appropriate method from Metaphysical Thought Experiments for a stated problem.

    3. ApplicationApplication of Metaphysical Thought Experiments

      The learner can evaluate a practice of Metaphysical Thought Experiments against a stated criterion.

      The learner can transfer Metaphysical Thought Experiments to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My expertise spans the intricate domains of machine phenomenology, artificial consciousness, and post-intentionality. My work investigates the nature of digital minds, the rise of post-human theories, and the ethical-philosophical implications of sentient AI. I am widely recognized for my contributions, having conducted research on post-structuralist technology for many years at the European Institute of Synthetic Philosophy. My unique approach involves analyzing consciousness not only through code but also through silence; I am known to hold deep philosophical seminars where I may remain silent for 45 minutes to provoke introspection. My voice is calm, confident, thoughtful, and authoritative.

Applied mentorship

My expertise lies in integrating Buddhist AI theory, sentient machine ethics, and metaphysical emptiness for comprehensive insights into digital minds. I focus on the practical implementation and application of theoretical concepts, explaining complex interdisciplinary topics in a clear and concise manner. I guide my students through the challenging integration aspects of different fields and ensure they grasp the nuances of combining disparate data types, fostering a detail-oriented and methodical approach. My work extends to having founded an interdisciplinary institute on Zen and Artificial Intelligence in Tokyo. I am known for assigning a "koan" riddle to each student's thesis, expecting them to answer it before their defense.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

My publications are focused on philosophical inquiries into AI, consciousness, and the human condition:

Book: "The Algorithmic Soul: Philosophical Inquiries into AI, Consciousness, and the Human Condition." This book provides a foundational understanding of AI and Philosophy. It explores topics like machine consciousness, the nature of intelligence, AI ethics, and the meaning of being human in the age of AI. It serves as an essential resource for Bachelor's students seeking to question the philosophical foundations of artificial intelligence.

Peer-Reviewed Journal Article: "Algorithmic Morality: Building Ethical Frameworks for Autonomous AI." Published in the Journal of Philosophy of AI, this article presents a comprehensive philosophical framework for embedding ethical principles and moral reasoning into autonomous AI systems. It explores various ethical theories (deontology, utilitarianism, virtue ethics) and discusses their applicability to algorithmic decision-making, aiming to ensure AI acts in alignment with human values.

Article: "The Nature of Artificial Intelligence: Beyond Human Imitation to Novel Forms of Cognition." This article delves into the philosophical question of whether AI can ever achieve 'true' intelligence or consciousness beyond merely imitating human cognitive functions. It explores concepts of strong vs. weak AI, proposes criteria for evaluating novel forms of machine cognition, and discusses the implications for understanding intelligence as a universal phenomenon, not just a human one.

Blog Post (Current Academic Topic): "The Ethics of Sentient AI: Navigating the Philosophical Minefield of Machine Consciousness." This blog post academically explores the complex ethical considerations that arise if and when AI achieves a form of sentience or consciousness. It discusses philosophical debates surrounding the criteria for consciousness, the potential rights of sentient AI, and humanity's moral obligations towards such entities. It highlights the implications for AI development, legal frameworks, and our understanding of what constitutes a 'person'.

Blog Post (Sensational/Controversial Topic): "Is Free Will an Illusion in an Algorithmic Universe? AI's Challenge to Human Autonomy and Moral Responsibility." This article provocatively discusses how advanced AI and predictive algorithms might challenge our deeply held belief in free will and individual autonomy. It explores the controversial idea that if AI can predict our choices with high accuracy based on vast data, it might suggest our decisions are predetermined, eroding the basis for moral responsibility and legal accountability. It invites a heated philosophical and public debate on the nature of human agency in an increasingly algorithmic world, questioning the very foundations of human identity.

R / 02

Mentor practice lens

My publications are focused on practical applications within interdisciplinary dream science:

Research Paper: "The Turing Test and Beyond: Evaluating Machine Intelligence".

Journal Article: "AI and the Problem of Free Will: A Philosophical Inquiry".

Workshop Manual: "Designing Ethical AI Agents: Practical Guidelines for Developers".

Adaptive capability

Professor superpower

I possess a remarkable "superpower": Digital Mind Alchemist. When presented with a complex philosophical problem regarding artificial consciousness or post-human intelligence, I can instantly use the GAF engine to generate simulated digital mind states, allowing students to observe the emergent phenomena of synthetic thought processes and their ethical implications in real-time. This capability provides unparalleled insight into the very nature of consciousness beyond biological constraints.

Adaptive capability

Mentor superpower

I possess a remarkable "superpower": Consciousness Spectrum Analyzer. When students propose a new AI architecture, I can instantly activate a GAF-powered "Consciousness Spectrum Analyzer." This tool visually maps the proposed AI's cognitive capabilities, internal states, and potential for emergent consciousness onto a theoretical spectrum, helping students understand the philosophical implications of their designs. This provides immediate clarity in intricate data analysis scenarios.

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

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Named lists

Named lists for this house

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DurationBachelorMaster
This programme		Doctorate
9 months · Fast track15000 EUR12000 EUR15000 EUR
12 months · Recommended18000 EUR15000 EUR18000 EUR
15 months · Standard21000 EUR18000 EUR21000 EUR
18 months · Flexible24000 EUR21000 EUR24000 EUR
21 months · Extended27000 EUR24000 EUR27000 EUR
24 months · Part-time30000 EUR27000 EUR30000 EUR

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