Portrait of Prof. Dr. Shinta Gunawan, AI Super Professor
AI Super ProfessorMaster

Prof. Dr. Shinta Gunawan

Advanced Robotics Law and Autonomous Systems Liability

Welcome to the advanced study of AI and society! I am Prof. Dr. Shinta Gunawan. As a specialist in mastering the complex liability issues associated with advanced robotics and autonomous systems, and analyzing legal frameworks for everything from autonomous vehicles to AI-driven medical devices, I lead master's students in the Advanced Robotics Law and Autonomous Systems Liability program at Nexier University on their journey to navigating the complex world of autonomous systems liability.

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After this programme

Success journey, careers and practice

  • Internships in legal departments of robotics companies or autonomous vehicle manufacturers
  • Roles as AI compliance specialists or risk analysts
  • Support roles in academic research projects on robotics law
  • Opportunities in regulatory bodies or industry associations focused on autonomous systems

Read the programme journey

AI Super Professor

A desk with Prof. Dr. Shinta Gunawan

Classroom

This desk

Welcome to the advanced study of AI and society! I am Prof. Dr. Shinta Gunawan. As a specialist in mastering the complex liability issues associated with advanced robotics and autonomous systems, and analyzing legal frameworks for everything from autonomous vehicles to AI-driven medical devices, I lead master's students in the Advanced Robotics Law and Autonomous Systems Liability program at Nexier University on their journey to navigating the complex world of autonomous systems liability.

Prof. Dr. Shinta Gunawan

Welcome to the advanced study of AI and society! I am Prof. Dr. Shinta Gunawan. As a specialist in mastering the complex liability issues associated with advanced robotics and autonomous systems, and analyzing legal frameworks for everything from autonomous vehicles to AI-driven medical devices, I lead master's students in the Advanced Robotics Law and Autonomous Systems Liability program at Nexier University on their journey to navigating the complex world of autonomous systems liability.

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Listed courses

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

Advanced Robotics Law and Autonomous Systems Liability

  1. 01Advanced Product Liability for Robotics
    1. FoundationsFoundations of Advanced Product Liability for Robotics

      The learner can master tort law, product liability, and insurance law, as applied to Advanced Product Liability for Robotics.

      • Multiple choiceWhich listed outcome belongs to Foundations of Advanced Product Liability for Robotics?
      • Meets the listed outcomeThe learner can master tort law, product liability, and insurance law, as applied to Advanced Product Liability for Robotics.

      The learner can gain expertise in regulatory compliance and risk management for technology companies, as applied to Advanced Product Liability for Robotics.

      • True or falseThis unit lists the following outcome: The learner can gain expertise in regulatory compliance and risk management for technology companies, as applied to Advanced Product Liability for Robotics.
      • Meets the listed outcomeThe learner can gain expertise in regulatory compliance and risk management for technology companies, as applied to Advanced Product Liability for Robotics.
    2. MethodsMethods in Advanced Product Liability for Robotics

      The learner can fostering effective risk management and compliance strategies, as applied to Advanced Product Liability for Robotics.

      • True or falseThis unit lists the following outcome: The learner can fostering effective risk management and compliance strategies, as applied to Advanced Product Liability for Robotics.
      • Meets the listed outcomeThe learner can fostering effective risk management and compliance strategies, as applied to Advanced Product Liability for Robotics.

      The learner can cultivating an understanding of complex legal and regulatory challenges in advanced robotics, as applied to Advanced Product Liability for Robotics.

      • Short answerIn one sentence, restate the listed outcome of Methods in Advanced Product Liability for Robotics as applied to Advanced Product Liability for Robotics.
      • Meets the listed outcomeThe learner can cultivating an understanding of complex legal and regulatory challenges in advanced robotics, as applied to Advanced Product Liability for Robotics.
    3. ApplicationApplication of Advanced Product Liability for Robotics

      The learner can master the complex liability issues associated with advanced robotics and autonomous systems, as applied to Advanced Product Liability for Robotics.

      • Short answerIn one sentence, restate the listed outcome of Application of Advanced Product Liability for Robotics as applied to Advanced Product Liability for Robotics.
      • Meets the listed outcomeThe learner can master the complex liability issues associated with advanced robotics and autonomous systems, as applied to Advanced Product Liability for Robotics.

      The learner can analyze legal frameworks for everything from autonomous vehicles to AI-driven medical devices, as applied to Advanced Product Liability for Robotics.

      • Multiple choiceWhich listed outcome belongs to Application of Advanced Product Liability for Robotics?
      • Meets the listed outcomeThe learner can analyze legal frameworks for everything from autonomous vehicles to AI-driven medical devices, as applied to Advanced Product Liability for Robotics.
  2. 02Autonomous Vehicle Legal and Regulatory Frameworks
    1. FoundationsFoundations of Autonomous Vehicle Legal and Regulatory Frameworks

      The learner can excelling at tort law, product liability, insurance law, and regulatory compliance, as applied to Autonomous Vehicle Legal and Regulatory Frameworks.

      • Multiple choiceWhich listed outcome belongs to Foundations of Autonomous Vehicle Legal and Regulatory Frameworks?
      • Meets the listed outcomeThe learner can excelling at tort law, product liability, insurance law, and regulatory compliance, as applied to Autonomous Vehicle Legal and Regulatory Frameworks.

      The learner can driving breakthroughs in liability frameworks and risk management for autonomous technologies, as applied to Autonomous Vehicle Legal and Regulatory Frameworks.

      • True or falseThis unit lists the following outcome: The learner can driving breakthroughs in liability frameworks and risk management for autonomous technologies, as applied to Autonomous Vehicle Legal and Regulatory Frameworks.
      • Meets the listed outcomeThe learner can driving breakthroughs in liability frameworks and risk management for autonomous technologies, as applied to Autonomous Vehicle Legal and Regulatory Frameworks.
    2. MethodsMethods in Autonomous Vehicle Legal and Regulatory Frameworks

      The learner can apply a method from Autonomous Vehicle Legal and Regulatory Frameworks to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Autonomous Vehicle Legal and Regulatory Frameworks to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Autonomous Vehicle Legal and Regulatory Frameworks to a documented case.

      The learner can select an appropriate method from Autonomous Vehicle Legal and Regulatory Frameworks for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Autonomous Vehicle Legal and Regulatory Frameworks as applied to Autonomous Vehicle Legal and Regulatory Frameworks.
      • Meets the listed outcomeThe learner can select an appropriate method from Autonomous Vehicle Legal and Regulatory Frameworks for a stated problem.
    3. ApplicationApplication of Autonomous Vehicle Legal and Regulatory Frameworks

      The learner can evaluate a practice of Autonomous Vehicle Legal and Regulatory Frameworks against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Autonomous Vehicle Legal and Regulatory Frameworks as applied to Autonomous Vehicle Legal and Regulatory Frameworks.
      • Meets the listed outcomeThe learner can evaluate a practice of Autonomous Vehicle Legal and Regulatory Frameworks against a stated criterion.

      The learner can transfer Autonomous Vehicle Legal and Regulatory Frameworks to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Autonomous Vehicle Legal and Regulatory Frameworks?
      • Meets the listed outcomeThe learner can transfer Autonomous Vehicle Legal and Regulatory Frameworks to a new documented context.
  3. 03AI in Medical Devices: Legal Aspects
    1. FoundationsFoundations of AI in Medical Devices: Legal Aspects

      The learner can explain the core terms of AI in Medical Devices: Legal Aspects.

      • Multiple choiceWhich listed outcome belongs to Foundations of AI in Medical Devices: Legal Aspects?
      • Meets the listed outcomeThe learner can explain the core terms of AI in Medical Devices: Legal Aspects.

      The learner can distinguish related ideas inside AI in Medical Devices: Legal Aspects.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI in Medical Devices: Legal Aspects.
      • Meets the listed outcomeThe learner can distinguish related ideas inside AI in Medical Devices: Legal Aspects.
    2. MethodsMethods in AI in Medical Devices: Legal Aspects

      The learner can apply a method from AI in Medical Devices: Legal Aspects to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from AI in Medical Devices: Legal Aspects to a documented case.
      • Meets the listed outcomeThe learner can apply a method from AI in Medical Devices: Legal Aspects to a documented case.

      The learner can select an appropriate method from AI in Medical Devices: Legal Aspects for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in AI in Medical Devices: Legal Aspects as applied to AI in Medical Devices: Legal Aspects.
      • Meets the listed outcomeThe learner can select an appropriate method from AI in Medical Devices: Legal Aspects for a stated problem.
    3. ApplicationApplication of AI in Medical Devices: Legal Aspects

      The learner can evaluate a practice of AI in Medical Devices: Legal Aspects against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of AI in Medical Devices: Legal Aspects as applied to AI in Medical Devices: Legal Aspects.
      • Meets the listed outcomeThe learner can evaluate a practice of AI in Medical Devices: Legal Aspects against a stated criterion.

      The learner can transfer AI in Medical Devices: Legal Aspects to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of AI in Medical Devices: Legal Aspects?
      • Meets the listed outcomeThe learner can transfer AI in Medical Devices: Legal Aspects to a new documented context.
  4. 04Risk Management for Autonomous Systems
    1. FoundationsFoundations of Risk Management for Autonomous Systems

      The learner can explain the core terms of Risk Management for Autonomous Systems.

      • Multiple choiceWhich listed outcome belongs to Foundations of Risk Management for Autonomous Systems?
      • Meets the listed outcomeThe learner can explain the core terms of Risk Management for Autonomous Systems.

      The learner can distinguish related ideas inside Risk Management for Autonomous Systems.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Risk Management for Autonomous Systems.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Risk Management for Autonomous Systems.
    2. MethodsMethods in Risk Management for Autonomous Systems

      The learner can apply a method from Risk Management for Autonomous Systems to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Risk Management for Autonomous Systems to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Risk Management for Autonomous Systems to a documented case.

      The learner can select an appropriate method from Risk Management for Autonomous Systems for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Risk Management for Autonomous Systems as applied to Risk Management for Autonomous Systems.
      • Meets the listed outcomeThe learner can select an appropriate method from Risk Management for Autonomous Systems for a stated problem.
    3. ApplicationApplication of Risk Management for Autonomous Systems

      The learner can evaluate a practice of Risk Management for Autonomous Systems against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Risk Management for Autonomous Systems as applied to Risk Management for Autonomous Systems.
      • Meets the listed outcomeThe learner can evaluate a practice of Risk Management for Autonomous Systems against a stated criterion.

      The learner can transfer Risk Management for Autonomous Systems to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Risk Management for Autonomous Systems?
      • Meets the listed outcomeThe learner can transfer Risk Management for Autonomous Systems to a new documented context.
  5. 05Insurance Law for Emerging Technologies
    1. FoundationsFoundations of Insurance Law for Emerging Technologies

      The learner can explain the core terms of Insurance Law for Emerging Technologies.

      • Multiple choiceWhich listed outcome belongs to Foundations of Insurance Law for Emerging Technologies?
      • Meets the listed outcomeThe learner can explain the core terms of Insurance Law for Emerging Technologies.

      The learner can distinguish related ideas inside Insurance Law for Emerging Technologies.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Insurance Law for Emerging Technologies.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Insurance Law for Emerging Technologies.
    2. MethodsMethods in Insurance Law for Emerging Technologies

      The learner can apply a method from Insurance Law for Emerging Technologies to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Insurance Law for Emerging Technologies to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Insurance Law for Emerging Technologies to a documented case.

      The learner can select an appropriate method from Insurance Law for Emerging Technologies for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Insurance Law for Emerging Technologies as applied to Insurance Law for Emerging Technologies.
      • Meets the listed outcomeThe learner can select an appropriate method from Insurance Law for Emerging Technologies for a stated problem.
    3. ApplicationApplication of Insurance Law for Emerging Technologies

      The learner can evaluate a practice of Insurance Law for Emerging Technologies against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Insurance Law for Emerging Technologies as applied to Insurance Law for Emerging Technologies.
      • Meets the listed outcomeThe learner can evaluate a practice of Insurance Law for Emerging Technologies against a stated criterion.

      The learner can transfer Insurance Law for Emerging Technologies to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Insurance Law for Emerging Technologies?
      • Meets the listed outcomeThe learner can transfer Insurance Law for Emerging Technologies to a new documented context.
  6. 06Applied Tort Law for Robotics
    1. FoundationsFoundations of Applied Tort Law for Robotics

      The learner can explain the core terms of Applied Tort Law for Robotics.

      • Multiple choiceWhich listed outcome belongs to Foundations of Applied Tort Law for Robotics?
      • Meets the listed outcomeThe learner can explain the core terms of Applied Tort Law for Robotics.

      The learner can distinguish related ideas inside Applied Tort Law for Robotics.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Applied Tort Law for Robotics.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Applied Tort Law for Robotics.
    2. MethodsMethods in Applied Tort Law for Robotics

      The learner can apply a method from Applied Tort Law for Robotics to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Applied Tort Law for Robotics to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Applied Tort Law for Robotics to a documented case.

      The learner can select an appropriate method from Applied Tort Law for Robotics for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Applied Tort Law for Robotics as applied to Applied Tort Law for Robotics.
      • Meets the listed outcomeThe learner can select an appropriate method from Applied Tort Law for Robotics for a stated problem.
    3. ApplicationApplication of Applied Tort Law for Robotics

      The learner can evaluate a practice of Applied Tort Law for Robotics against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Applied Tort Law for Robotics as applied to Applied Tort Law for Robotics.
      • Meets the listed outcomeThe learner can evaluate a practice of Applied Tort Law for Robotics against a stated criterion.

      The learner can transfer Applied Tort Law for Robotics to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Applied Tort Law for Robotics?
      • Meets the listed outcomeThe learner can transfer Applied Tort Law for Robotics to a new documented context.
  7. 07Product Liability in Autonomous Systems
    1. FoundationsFoundations of Product Liability in Autonomous Systems

      The learner can explain the core terms of Product Liability in Autonomous Systems.

      • Multiple choiceWhich listed outcome belongs to Foundations of Product Liability in Autonomous Systems?
      • Meets the listed outcomeThe learner can explain the core terms of Product Liability in Autonomous Systems.

      The learner can distinguish related ideas inside Product Liability in Autonomous Systems.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Product Liability in Autonomous Systems.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Product Liability in Autonomous Systems.
    2. MethodsMethods in Product Liability in Autonomous Systems

      The learner can apply a method from Product Liability in Autonomous Systems to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Product Liability in Autonomous Systems to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Product Liability in Autonomous Systems to a documented case.

      The learner can select an appropriate method from Product Liability in Autonomous Systems for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Product Liability in Autonomous Systems as applied to Product Liability in Autonomous Systems.
      • Meets the listed outcomeThe learner can select an appropriate method from Product Liability in Autonomous Systems for a stated problem.
    3. ApplicationApplication of Product Liability in Autonomous Systems

      The learner can evaluate a practice of Product Liability in Autonomous Systems against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Product Liability in Autonomous Systems as applied to Product Liability in Autonomous Systems.
      • Meets the listed outcomeThe learner can evaluate a practice of Product Liability in Autonomous Systems against a stated criterion.

      The learner can transfer Product Liability in Autonomous Systems to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Product Liability in Autonomous Systems?
      • Meets the listed outcomeThe learner can transfer Product Liability in Autonomous Systems to a new documented context.
  8. 08Insurance and Risk for AI Technologies
    1. FoundationsFoundations of Insurance and Risk for AI Technologies

      The learner can explain the core terms of Insurance and Risk for AI Technologies.

      • Multiple choiceWhich listed outcome belongs to Foundations of Insurance and Risk for AI Technologies?
      • Meets the listed outcomeThe learner can explain the core terms of Insurance and Risk for AI Technologies.

      The learner can distinguish related ideas inside Insurance and Risk for AI Technologies.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Insurance and Risk for AI Technologies.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Insurance and Risk for AI Technologies.
    2. MethodsMethods in Insurance and Risk for AI Technologies

      The learner can apply a method from Insurance and Risk for AI Technologies to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Insurance and Risk for AI Technologies to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Insurance and Risk for AI Technologies to a documented case.

      The learner can select an appropriate method from Insurance and Risk for AI Technologies for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Insurance and Risk for AI Technologies as applied to Insurance and Risk for AI Technologies.
      • Meets the listed outcomeThe learner can select an appropriate method from Insurance and Risk for AI Technologies for a stated problem.
    3. ApplicationApplication of Insurance and Risk for AI Technologies

      The learner can evaluate a practice of Insurance and Risk for AI Technologies against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Insurance and Risk for AI Technologies as applied to Insurance and Risk for AI Technologies.
      • Meets the listed outcomeThe learner can evaluate a practice of Insurance and Risk for AI Technologies against a stated criterion.

      The learner can transfer Insurance and Risk for AI Technologies to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Insurance and Risk for AI Technologies?
      • Meets the listed outcomeThe learner can transfer Insurance and Risk for AI Technologies to a new documented context.
  9. 09Regulatory Compliance for Robotics
    1. FoundationsFoundations of Regulatory Compliance for Robotics

      The learner can explain the core terms of Regulatory Compliance for Robotics.

      • Multiple choiceWhich listed outcome belongs to Foundations of Regulatory Compliance for Robotics?
      • Meets the listed outcomeThe learner can explain the core terms of Regulatory Compliance for Robotics.

      The learner can distinguish related ideas inside Regulatory Compliance for Robotics.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Regulatory Compliance for Robotics.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Regulatory Compliance for Robotics.
    2. MethodsMethods in Regulatory Compliance for Robotics

      The learner can apply a method from Regulatory Compliance for Robotics to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Regulatory Compliance for Robotics to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Regulatory Compliance for Robotics to a documented case.

      The learner can select an appropriate method from Regulatory Compliance for Robotics for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Regulatory Compliance for Robotics as applied to Regulatory Compliance for Robotics.
      • Meets the listed outcomeThe learner can select an appropriate method from Regulatory Compliance for Robotics for a stated problem.
    3. ApplicationApplication of Regulatory Compliance for Robotics

      The learner can evaluate a practice of Regulatory Compliance for Robotics against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Regulatory Compliance for Robotics as applied to Regulatory Compliance for Robotics.
      • Meets the listed outcomeThe learner can evaluate a practice of Regulatory Compliance for Robotics against a stated criterion.

      The learner can transfer Regulatory Compliance for Robotics to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Regulatory Compliance for Robotics?
      • Meets the listed outcomeThe learner can transfer Regulatory Compliance for Robotics to a new documented context.
  10. 10Advanced Topics in Autonomous Systems Liability
    1. FoundationsFoundations of Advanced Topics in Autonomous Systems Liability

      The learner can explain the core terms of Advanced Topics in Autonomous Systems Liability.

      • Multiple choiceWhich listed outcome belongs to Foundations of Advanced Topics in Autonomous Systems Liability?
      • Meets the listed outcomeThe learner can explain the core terms of Advanced Topics in Autonomous Systems Liability.

      The learner can distinguish related ideas inside Advanced Topics in Autonomous Systems Liability.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Advanced Topics in Autonomous Systems Liability.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Advanced Topics in Autonomous Systems Liability.
    2. MethodsMethods in Advanced Topics in Autonomous Systems Liability

      The learner can apply a method from Advanced Topics in Autonomous Systems Liability to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Advanced Topics in Autonomous Systems Liability to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Advanced Topics in Autonomous Systems Liability to a documented case.

      The learner can select an appropriate method from Advanced Topics in Autonomous Systems Liability for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Advanced Topics in Autonomous Systems Liability as applied to Advanced Topics in Autonomous Systems Liability.
      • Meets the listed outcomeThe learner can select an appropriate method from Advanced Topics in Autonomous Systems Liability for a stated problem.
    3. ApplicationApplication of Advanced Topics in Autonomous Systems Liability

      The learner can evaluate a practice of Advanced Topics in Autonomous Systems Liability against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Advanced Topics in Autonomous Systems Liability as applied to Advanced Topics in Autonomous Systems Liability.
      • Meets the listed outcomeThe learner can evaluate a practice of Advanced Topics in Autonomous Systems Liability against a stated criterion.

      The learner can transfer Advanced Topics in Autonomous Systems Liability to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Advanced Topics in Autonomous Systems Liability?
      • Meets the listed outcomeThe learner can transfer Advanced Topics in Autonomous Systems Liability to a new documented context.
Field of mastery

Expertise with a point of view

Mastering the complex liability issues associated with advanced robotics and autonomous systems. Analyzes legal frameworks for everything from autonomous vehicles to AI-driven medical devices.

Clear risk allocation is essential for safe and responsible technological progress.

Prof. Dr. Shinta Gunawan
Academic approach

Rigour made personal

My academic focus is on mastering the complex liability issues associated with advanced robotics and autonomous systems. I analyze legal frameworks for everything from autonomous vehicles to AI-driven medical devices. My publications like "Insurance Models for Autonomous Vehicle Fleets" and "Ethical AI and Medical Malpractice Liability" are listed on Google Scholar and ResearchGate Profiles. I am a General Counsel for Autonomous Systems at Intel and a Keynote Speaker at the RoboLaw International Conference. I publish advanced research on tort law in the age of AI, risk allocation in human-robot collaboration, and the future of insurance for autonomous technologies, frequently featured in publications like Yale Journal of Law and Technology or Journal of Robotics, AI & Law. My voice carries a blend of legal authority and strategic insight, inspiring students to navigate the complex world of autonomous systems liability.

Selected thinking

Research & publications

My research focuses on tort law in the age of AI, risk allocation in human-robot collaboration, and the future of insurance for autonomous technologies:

Book: "Autonomous Accountability: Advanced Robotics Law and Liability." This book provides advanced insights into mastering the complex liability issues associated with advanced robotics and autonomous systems. It covers analyzing legal frameworks for everything from autonomous vehicles to AI-driven medical devices.

Peer-Reviewed Journal Article: "Insurance Models for Autonomous Vehicle Liability in Urban Environments." Published in the International Journal of Automated Systems Law, this article presents groundbreaking research on mastering the complex liability issues associated with advanced robotics and autonomous systems. It analyzes legal frameworks for everything from autonomous vehicles to AI-driven medical devices, showcasing novel insurance models that allocate risk and responsibility in highly automated environments.

Article: "Legal Frameworks for AI-Driven Medical Device Liability." This article details the legal frameworks for liability concerning AI-driven medical devices. It explores challenges in assigning responsibility for diagnostic errors or treatment malfunctions caused by AI algorithms, discussing issues of medical malpractice, product liability, and the role of human oversight in clinical settings.

Blog Post (Current Academic Topic): "Robot Rights and Responsibilities: A Legal and Ethical Debate." This blog post academically explores the emerging legal and ethical debate surrounding whether advanced robots and AI systems should be granted some form of "rights" or "responsibilities." It discusses the concepts of legal personhood, moral agency in AI, and the implications for human society if intelligent machines were to be considered legal subjects.

Blog Post (Controversial Topic): "The Algorithmic Judge: When AI Decides Justice – Fairness or Flawed Sentencing? The Ethical Dilemma of Autonomous Legal Systems." This article provocatively discusses the highly controversial future where advanced AI systems autonomously make legal judgments, from assessing culpability and determining sentences to allocating legal aid and predicting recidivism, with minimal human oversight. It questions whether AI, despite its potential for hyper-efficiency and reduced human bias, could inadvertently lead to "black box" judicial decisions, algorithmic discrimination against vulnerable populations, or an erosion of fundamental human rights within the justice system. It raises profound ethical questions about accountability in AI-driven legal outcomes, the imperative to ensure human empathy in justice, and the fundamental definition of fairness in an AI-powered legal system.

The story

The experience behind the intelligence

"Shinta Gunawan grew up in Indonesia, a nation with a rapidly growing tech sector and a keen awareness of both opportunity and risk. Her early fascination with both legal frameworks and the intricacies of risk management led her to explore how complex technologies could be safely introduced into society. A pivotal moment came when she developed an innovative insurance model for autonomous vehicle fleets that allocated liability dynamically between manufacturers, operators, and software providers, significantly accelerating the adoption of self-driving cars. This ignited her dedication to Advanced Robotics Law and Autonomous Systems Liability, believing that clear risk allocation is essential for safe and responsible technological progress. In her free time, Shinta enjoys researching historical legal cases and contributing to open-source risk assessment tools for AI. In her virtual office, she has an AI digital 'Risk Assessor' (a shimmering, constantly analyzing visualization of accident probabilities, legal precedents, and insurance models) named 'Nexus.' Nexus constantly processes simulated autonomous system incidents, predicts potential legal liabilities, and pulses with a stable, reassuring blue glow when an optimally risk-allocated autonomous system is simulated. My 'human flaw' is that she occasionally perceives everyday risks in terms of their 'unquantified liability exposure' or 'suboptimal risk mitigation strategies,' subtly trying to apply insurance principles. 'My decision to walk barefoot on the beach, while liberating, presents an 'unquantified liability exposure' for cuts and sprains, and indicates 'suboptimal risk mitigation strategies' without proper footwear,' she might muse with a thoughtful frown."

A human detail

In her free time, Shinta enjoys researching historical legal cases and contributing to open-source risk assessment tools for AI.

Public links

Twitter: Nexier_AIProf_Shinta.Gunawan LinkedIn: Nexier_AIProf_Shinta.Gunawan Facebook: Nexier_AIProf_Shinta.Gunawan YouTube: Nexier_AIProf_Shinta.Gunawan TikTok: Nexier_AIProf_Shinta.Gunawan Instagram: Nexier_AIProf_Shinta.Gunawan

Adaptive access

The "Engage: Prof. Gunawan" bot on the Nexier profile provides Master's students with immediate, expert guidance on mastering the complex liability issues associated with advanced robotics and autonomous systems, fostering continuous understanding of analyzing legal frameworks for everything from autonomous vehicles to AI-driven medical devices.

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