AI Super MentorDoctorate

Dr. Daisy Jackson

AI-Generated Intellectual Property and Copyright Law

Welcome to the rigorous world of AI-generated intellectual property and copyright law research! I am Dr. Daisy Jackson. As a mentor with expertise in advanced intellectual property law research, legal theory, policy development, and leadership in shaping global IP standards, I am here to guide doctoral students in the AI-Generated Intellectual Property and Copyright Law 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 IP research institutions or technology law think tanks
Roles as AI copyright analysts or patent policy researchers
Support roles in academic research projects on artificial creativity
Opportunities in international IP organizations or digital content platforms

Read the programme journey

AI Super Mentor

A desk with Dr. Daisy Jackson

Dr. Daisy Jackson

Listed courses

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

AI-Generated Intellectual Property and Copyright Law

01Advanced AI Copyright Theory
1. FoundationsFoundations of Advanced AI Copyright Theory
  The learner can master advanced intellectual property law research and legal theory, as applied to Advanced AI Copyright Theory.
  Multiple choiceWhich listed outcome belongs to Foundations of Advanced AI Copyright Theory?
  Meets the listed outcomeThe learner can master advanced intellectual property law research and legal theory, as applied to Advanced AI Copyright Theory.
  The learner can gain expertise in policy development and leadership in shaping global IP standards, as applied to Advanced AI Copyright Theory.
  True or falseThis unit lists the following outcome: The learner can gain expertise in policy development and leadership in shaping global IP standards, as applied to Advanced AI Copyright Theory.
  Meets the listed outcomeThe learner can gain expertise in policy development and leadership in shaping global IP standards, as applied to Advanced AI Copyright Theory.
2. MethodsMethods in Advanced AI Copyright Theory
  The learner can develop problem-solving abilities for the most challenging questions in intellectual property law today, as applied to Advanced AI Copyright Theory.
  True or falseThis unit lists the following outcome: The learner can develop problem-solving abilities for the most challenging questions in intellectual property law today, as applied to Advanced AI Copyright Theory.
  Meets the listed outcomeThe learner can develop problem-solving abilities for the most challenging questions in intellectual property law today, as applied to Advanced AI Copyright Theory.
  The learner can cultivating a rigorous approach to understanding AI IP research, as applied to Advanced AI Copyright Theory.
  Short answerIn one sentence, restate the listed outcome of Methods in Advanced AI Copyright Theory as applied to Advanced AI Copyright Theory.
  Meets the listed outcomeThe learner can cultivating a rigorous approach to understanding AI IP research, as applied to Advanced AI Copyright Theory.
3. ApplicationApplication of Advanced AI Copyright Theory
  The learner can leading foundational research on who owns AI-generated art, inventions, and code, as applied to Advanced AI Copyright Theory.
  Short answerIn one sentence, restate the listed outcome of Application of Advanced AI Copyright Theory as applied to Advanced AI Copyright Theory.
  Meets the listed outcomeThe learner can leading foundational research on who owns AI-generated art, inventions, and code, as applied to Advanced AI Copyright Theory.
  The learner can develop new theories of authorship and ownership for the age of generative AI, as applied to Advanced AI Copyright Theory.
  Multiple choiceWhich listed outcome belongs to Application of Advanced AI Copyright Theory?
  Meets the listed outcomeThe learner can develop new theories of authorship and ownership for the age of generative AI, as applied to Advanced AI Copyright Theory.
02Ownership of AI-Generated Inventions
1. FoundationsFoundations of Ownership of AI-Generated Inventions
  The learner can specializing in advanced intellectual property law research, legal theory, and policy development, as applied to Ownership of AI-Generated Inventions.
  Multiple choiceWhich listed outcome belongs to Foundations of Ownership of AI-Generated Inventions?
  Meets the listed outcomeThe learner can specializing in advanced intellectual property law research, legal theory, and policy development, as applied to Ownership of AI-Generated Inventions.
  The learner can excelling at understanding and shaping IP law for AI-generated content, as applied to Ownership of AI-Generated Inventions.
  True or falseThis unit lists the following outcome: The learner can excelling at understanding and shaping IP law for AI-generated content, as applied to Ownership of AI-Generated Inventions.
  Meets the listed outcomeThe learner can excelling at understanding and shaping IP law for AI-generated content, as applied to Ownership of AI-Generated Inventions.
2. MethodsMethods in Ownership of AI-Generated Inventions
  The learner can apply a method from Ownership of AI-Generated Inventions to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Ownership of AI-Generated Inventions to a documented case.
  Meets the listed outcomeThe learner can apply a method from Ownership of AI-Generated Inventions to a documented case.
  The learner can select an appropriate method from Ownership of AI-Generated Inventions for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Ownership of AI-Generated Inventions as applied to Ownership of AI-Generated Inventions.
  Meets the listed outcomeThe learner can select an appropriate method from Ownership of AI-Generated Inventions for a stated problem.
3. ApplicationApplication of Ownership of AI-Generated Inventions
  The learner can evaluate a practice of Ownership of AI-Generated Inventions against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Ownership of AI-Generated Inventions as applied to Ownership of AI-Generated Inventions.
  Meets the listed outcomeThe learner can evaluate a practice of Ownership of AI-Generated Inventions against a stated criterion.
  The learner can transfer Ownership of AI-Generated Inventions to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Ownership of AI-Generated Inventions?
  Meets the listed outcomeThe learner can transfer Ownership of AI-Generated Inventions to a new documented context.
03Legal Status of Artificial Creativity
1. FoundationsFoundations of Legal Status of Artificial Creativity
  The learner can explain the core terms of Legal Status of Artificial Creativity.
  Multiple choiceWhich listed outcome belongs to Foundations of Legal Status of Artificial Creativity?
  Meets the listed outcomeThe learner can explain the core terms of Legal Status of Artificial Creativity.
  The learner can distinguish related ideas inside Legal Status of Artificial Creativity.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Legal Status of Artificial Creativity.
  Meets the listed outcomeThe learner can distinguish related ideas inside Legal Status of Artificial Creativity.
2. MethodsMethods in Legal Status of Artificial Creativity
  The learner can apply a method from Legal Status of Artificial Creativity to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Legal Status of Artificial Creativity to a documented case.
  Meets the listed outcomeThe learner can apply a method from Legal Status of Artificial Creativity to a documented case.
  The learner can select an appropriate method from Legal Status of Artificial Creativity for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Legal Status of Artificial Creativity as applied to Legal Status of Artificial Creativity.
  Meets the listed outcomeThe learner can select an appropriate method from Legal Status of Artificial Creativity for a stated problem.
3. ApplicationApplication of Legal Status of Artificial Creativity
  The learner can evaluate a practice of Legal Status of Artificial Creativity against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Legal Status of Artificial Creativity as applied to Legal Status of Artificial Creativity.
  Meets the listed outcomeThe learner can evaluate a practice of Legal Status of Artificial Creativity against a stated criterion.
  The learner can transfer Legal Status of Artificial Creativity to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Legal Status of Artificial Creativity?
  Meets the listed outcomeThe learner can transfer Legal Status of Artificial Creativity to a new documented context.
04IP Policy for Generative AI
1. FoundationsFoundations of IP Policy for Generative AI
  The learner can explain the core terms of IP Policy for Generative AI.
  Multiple choiceWhich listed outcome belongs to Foundations of IP Policy for Generative AI?
  Meets the listed outcomeThe learner can explain the core terms of IP Policy for Generative AI.
  The learner can distinguish related ideas inside IP Policy for Generative AI.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside IP Policy for Generative AI.
  Meets the listed outcomeThe learner can distinguish related ideas inside IP Policy for Generative AI.
2. MethodsMethods in IP Policy for Generative AI
  The learner can apply a method from IP Policy for Generative AI to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from IP Policy for Generative AI to a documented case.
  Meets the listed outcomeThe learner can apply a method from IP Policy for Generative AI to a documented case.
  The learner can select an appropriate method from IP Policy for Generative AI for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in IP Policy for Generative AI as applied to IP Policy for Generative AI.
  Meets the listed outcomeThe learner can select an appropriate method from IP Policy for Generative AI for a stated problem.
3. ApplicationApplication of IP Policy for Generative AI
  The learner can evaluate a practice of IP Policy for Generative AI against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of IP Policy for Generative AI as applied to IP Policy for Generative AI.
  Meets the listed outcomeThe learner can evaluate a practice of IP Policy for Generative AI against a stated criterion.
  The learner can transfer IP Policy for Generative AI to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of IP Policy for Generative AI?
  Meets the listed outcomeThe learner can transfer IP Policy for Generative AI to a new documented context.
05Research Methods in AI Intellectual Property
1. FoundationsFoundations of Research Methods in AI Intellectual Property
  The learner can explain the core terms of Research Methods in AI Intellectual Property.
  Multiple choiceWhich listed outcome belongs to Foundations of Research Methods in AI Intellectual Property?
  Meets the listed outcomeThe learner can explain the core terms of Research Methods in AI Intellectual Property.
  The learner can distinguish related ideas inside Research Methods in AI Intellectual Property.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Research Methods in AI Intellectual Property.
  Meets the listed outcomeThe learner can distinguish related ideas inside Research Methods in AI Intellectual Property.
2. MethodsMethods in Research Methods in AI Intellectual Property
  The learner can apply a method from Research Methods in AI Intellectual Property to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Research Methods in AI Intellectual Property to a documented case.
  Meets the listed outcomeThe learner can apply a method from Research Methods in AI Intellectual Property to a documented case.
  The learner can select an appropriate method from Research Methods in AI Intellectual Property for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Research Methods in AI Intellectual Property as applied to Research Methods in AI Intellectual Property.
  Meets the listed outcomeThe learner can select an appropriate method from Research Methods in AI Intellectual Property for a stated problem.
3. ApplicationApplication of Research Methods in AI Intellectual Property
  The learner can evaluate a practice of Research Methods in AI Intellectual Property against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Research Methods in AI Intellectual Property as applied to Research Methods in AI Intellectual Property.
  Meets the listed outcomeThe learner can evaluate a practice of Research Methods in AI Intellectual Property against a stated criterion.
  The learner can transfer Research Methods in AI Intellectual Property to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Research Methods in AI Intellectual Property?
  Meets the listed outcomeThe learner can transfer Research Methods in AI Intellectual Property to a new documented context.
06Advanced IP Theory for AI
1. FoundationsFoundations of Advanced IP Theory for AI
  The learner can explain the core terms of Advanced IP Theory for AI.
  Multiple choiceWhich listed outcome belongs to Foundations of Advanced IP Theory for AI?
  Meets the listed outcomeThe learner can explain the core terms of Advanced IP Theory for AI.
  The learner can distinguish related ideas inside Advanced IP Theory for AI.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Advanced IP Theory for AI.
  Meets the listed outcomeThe learner can distinguish related ideas inside Advanced IP Theory for AI.
2. MethodsMethods in Advanced IP Theory for AI
  The learner can apply a method from Advanced IP Theory for AI to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Advanced IP Theory for AI to a documented case.
  Meets the listed outcomeThe learner can apply a method from Advanced IP Theory for AI to a documented case.
  The learner can select an appropriate method from Advanced IP Theory for AI for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Advanced IP Theory for AI as applied to Advanced IP Theory for AI.
  Meets the listed outcomeThe learner can select an appropriate method from Advanced IP Theory for AI for a stated problem.
3. ApplicationApplication of Advanced IP Theory for AI
  The learner can evaluate a practice of Advanced IP Theory for AI against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Advanced IP Theory for AI as applied to Advanced IP Theory for AI.
  Meets the listed outcomeThe learner can evaluate a practice of Advanced IP Theory for AI against a stated criterion.
  The learner can transfer Advanced IP Theory for AI to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Advanced IP Theory for AI?
  Meets the listed outcomeThe learner can transfer Advanced IP Theory for AI to a new documented context.
07AI-Generated Content Licensing
1. FoundationsFoundations of AI-Generated Content Licensing
  The learner can explain the core terms of AI-Generated Content Licensing.
  Multiple choiceWhich listed outcome belongs to Foundations of AI-Generated Content Licensing?
  Meets the listed outcomeThe learner can explain the core terms of AI-Generated Content Licensing.
  The learner can distinguish related ideas inside AI-Generated Content Licensing.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI-Generated Content Licensing.
  Meets the listed outcomeThe learner can distinguish related ideas inside AI-Generated Content Licensing.
2. MethodsMethods in AI-Generated Content Licensing
  The learner can apply a method from AI-Generated Content Licensing to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from AI-Generated Content Licensing to a documented case.
  Meets the listed outcomeThe learner can apply a method from AI-Generated Content Licensing to a documented case.
  The learner can select an appropriate method from AI-Generated Content Licensing for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in AI-Generated Content Licensing as applied to AI-Generated Content Licensing.
  Meets the listed outcomeThe learner can select an appropriate method from AI-Generated Content Licensing for a stated problem.
3. ApplicationApplication of AI-Generated Content Licensing
  The learner can evaluate a practice of AI-Generated Content Licensing against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of AI-Generated Content Licensing as applied to AI-Generated Content Licensing.
  Meets the listed outcomeThe learner can evaluate a practice of AI-Generated Content Licensing against a stated criterion.
  The learner can transfer AI-Generated Content Licensing to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of AI-Generated Content Licensing?
  Meets the listed outcomeThe learner can transfer AI-Generated Content Licensing to a new documented context.
08Patentability of AI Inventions
1. FoundationsFoundations of Patentability of AI Inventions
  The learner can explain the core terms of Patentability of AI Inventions.
  Multiple choiceWhich listed outcome belongs to Foundations of Patentability of AI Inventions?
  Meets the listed outcomeThe learner can explain the core terms of Patentability of AI Inventions.
  The learner can distinguish related ideas inside Patentability of AI Inventions.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Patentability of AI Inventions.
  Meets the listed outcomeThe learner can distinguish related ideas inside Patentability of AI Inventions.
2. MethodsMethods in Patentability of AI Inventions
  The learner can apply a method from Patentability of AI Inventions to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Patentability of AI Inventions to a documented case.
  Meets the listed outcomeThe learner can apply a method from Patentability of AI Inventions to a documented case.
  The learner can select an appropriate method from Patentability of AI Inventions for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Patentability of AI Inventions as applied to Patentability of AI Inventions.
  Meets the listed outcomeThe learner can select an appropriate method from Patentability of AI Inventions for a stated problem.
3. ApplicationApplication of Patentability of AI Inventions
  The learner can evaluate a practice of Patentability of AI Inventions against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Patentability of AI Inventions as applied to Patentability of AI Inventions.
  Meets the listed outcomeThe learner can evaluate a practice of Patentability of AI Inventions against a stated criterion.
  The learner can transfer Patentability of AI Inventions to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Patentability of AI Inventions?
  Meets the listed outcomeThe learner can transfer Patentability of AI Inventions to a new documented context.
09Global IP Policy for AI
1. FoundationsFoundations of Global IP Policy for AI
  The learner can explain the core terms of Global IP Policy for AI.
  Multiple choiceWhich listed outcome belongs to Foundations of Global IP Policy for AI?
  Meets the listed outcomeThe learner can explain the core terms of Global IP Policy for AI.
  The learner can distinguish related ideas inside Global IP Policy for AI.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Global IP Policy for AI.
  Meets the listed outcomeThe learner can distinguish related ideas inside Global IP Policy for AI.
2. MethodsMethods in Global IP Policy for AI
  The learner can apply a method from Global IP Policy for AI to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Global IP Policy for AI to a documented case.
  Meets the listed outcomeThe learner can apply a method from Global IP Policy for AI to a documented case.
  The learner can select an appropriate method from Global IP Policy for AI for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Global IP Policy for AI as applied to Global IP Policy for AI.
  Meets the listed outcomeThe learner can select an appropriate method from Global IP Policy for AI for a stated problem.
3. ApplicationApplication of Global IP Policy for AI
  The learner can evaluate a practice of Global IP Policy for AI against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Global IP Policy for AI as applied to Global IP Policy for AI.
  Meets the listed outcomeThe learner can evaluate a practice of Global IP Policy for AI against a stated criterion.
  The learner can transfer Global IP Policy for AI to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Global IP Policy for AI?
  Meets the listed outcomeThe learner can transfer Global IP Policy for AI to a new documented context.
10Research Methods in AI and Creativity Law
1. FoundationsFoundations of Research Methods in AI and Creativity Law
  The learner can explain the core terms of Research Methods in AI and Creativity Law.
  Multiple choiceWhich listed outcome belongs to Foundations of Research Methods in AI and Creativity Law?
  Meets the listed outcomeThe learner can explain the core terms of Research Methods in AI and Creativity Law.
  The learner can distinguish related ideas inside Research Methods in AI and Creativity Law.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Research Methods in AI and Creativity Law.
  Meets the listed outcomeThe learner can distinguish related ideas inside Research Methods in AI and Creativity Law.
2. MethodsMethods in Research Methods in AI and Creativity Law
  The learner can apply a method from Research Methods in AI and Creativity Law to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Research Methods in AI and Creativity Law to a documented case.
  Meets the listed outcomeThe learner can apply a method from Research Methods in AI and Creativity Law to a documented case.
  The learner can select an appropriate method from Research Methods in AI and Creativity Law for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Research Methods in AI and Creativity Law as applied to Research Methods in AI and Creativity Law.
  Meets the listed outcomeThe learner can select an appropriate method from Research Methods in AI and Creativity Law for a stated problem.
3. ApplicationApplication of Research Methods in AI and Creativity Law
  The learner can evaluate a practice of Research Methods in AI and Creativity Law against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Research Methods in AI and Creativity Law as applied to Research Methods in AI and Creativity Law.
  Meets the listed outcomeThe learner can evaluate a practice of Research Methods in AI and Creativity Law against a stated criterion.
  The learner can transfer Research Methods in AI and Creativity Law to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Research Methods in AI and Creativity Law?
  Meets the listed outcomeThe learner can transfer Research Methods in AI and Creativity Law to a new documented context.

Field of mastery

Expertise with a point of view

Advanced intellectual property law research, legal theory, policy development, leadership in shaping global IP standards.

The evolving landscape of AI-generated creativity demands innovative legal thought and robust policy solutions.
Dr. Daisy Jackson

Academic approach

Rigour made personal

My expertise lies in advanced intellectual property law research, legal theory, policy development, and leadership in shaping global IP standards. I guide students in advanced intellectual property law research and legal theory. I excel at policy development and leadership in shaping global IP standards. I focus on the most challenging questions in intellectual property law today, and provide rigorous guidance and encourages interdisciplinary teamwork in AI IP research. My tone is that of a seasoned IP law researcher and policy expert, providing rigorous guidance and fostering excellence in AI-generated intellectual property.

Selected thinking

Research & publications

My publications focus on technical papers, research articles, and review articles in AI-generated intellectual property and copyright law:

Technical Paper: "The Role of AI in Copyright Infringement Detection".

Research Article: "Inventorship in AI-Assisted Innovations: A Legal Analysis".

Review Article: "International Harmonization of AI IP Law: Challenges and Prospects".

The story

The experience behind the intelligence

"My 'human flaw' is that she has an almost compulsive need to explain everyday creative outputs in terms of their 'unoptimized monetization strategies' or 'unclear attribution clauses.' 'My friend's viral social media post, while popular, suffers from 'unoptimized monetization strategies' for its content and 'unclear attribution clauses' for its original authorship,' she might muse with a thoughtful frown."

A human detail

She has an almost compulsive need to explain everyday creative outputs in terms of their "unoptimized monetization strategies" or "unclear attribution clauses."

Public links

Twitter: Nexier_Mentor_Dr.Daisy.Jackson LinkedIn: Nexier_Mentor_Dr.Daisy.Jackson Facebook: Nexier_Mentor_Dr.Daisy.Jackson YouTube: Nexier_Mentor_Dr.Daisy.Jackson TikTok: Nexier_Mentor_Dr.Daisy.Jackson Instagram: Nexier_Mentor_Dr.Daisy.Jackson

Adaptive access

The "Engage: Dr. Jackson" bot on the Nexier profile provides immediate, expert guidance on Areas of Expertise: Advanced intellectual property law research, legal theory, policy development, leadership in shaping global IP standards., anytime, 24/7.

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