AI Safety and Ethical Guardrail Design for Autonomous Systems
Franklin Hudson - The International School of Management
Not stated
- Location
- Paris, France, France
- Funding
- Self-Funded PhD Students Only
- Application deadline
- Year-round applications
About the project
About the Project As autonomous and non-deterministic AI systems become more powerful, organizations need stronger real-time governance, observability, and safety mechanisms. Post-execution explanation may not be sufficient when autonomous systems act quickly and influence high-stakes decisions. This DBA research opportunity focuses on the design of AI safety artefacts and ethical guardrails for autonomous systems. Possible research directions include observability-native execution, real-time monitoring, escalation protocols, ethical control surfaces, AI assurance, operational safety, and governance models for non-deterministic technology. This opportunity is particularly relevant for experienced professionals in autonomous vehicles, financial trading, cyber defense, AI governance, technology risk, compliance, digital transformation, or safety-critical industries. Candidates may design an AI safety protocol, observability framework, or governance artefact that supports responsible deployment of autonomous systems. The expected contribution is a practical artefact that helps organizations reduce the trust gap, improve accountability, and manage the risks of advanced AI systems without blocking innovation. Tuition and scholarships This is a self-funded doctoral research opportunity. The total tuition fee for the Franklin Hudson DBA program is €62,600 . Partial merit-based scholarships may be awarded to strong candidates, up to 30% maximum of tuition. Payment plans are available. Enquiries https://franklinhudson.ism.edu/contact-us info@franklinhudson.ism.edu