• As technology investments reach new heights and AI transforms industries, smart governance has become crucial for innovation.
• We’ll dive into the key challenges on how global governments are addressing emerging technologies governance, building frameworks that protect society against risks while still enabling rapid, meaningful innovation.

• This session will explore the evolving challenges posed by emerging technologies, focusing on challenges surrounding AI, intellectual property, data privacy, consumer’s rights and autonomous decision-making.
• It will examine the need for collaborative efforts between governments, tech companies, and individuals to create adaptive frameworks.
• The session aims to develop a comprehensive approach to protect customer rights, manage technological risks, and ensure digital accountability.

This session will delve into the transformative role of Artificial Intelligence (AI) in judicial systems, focusing on its opportunities, risks, and governance frameworks across public prosecution offices.

Through global case studies and expert insights, the discussion will highlight how AI is reshaping judicial decision-making while addressing ethical and operational challenges.

This session will cover the:

• Benefits and risks of AI in judicial decision making: Exploring how AI enhances efficiency while ensuring fairness and mitigating biases.
• Governance mechanisms: Frameworks to promote transparency, accountability, and ethical AI use in courts.
• Global case studies: Insights from Estonia’s digital courts and Korea’s AI-driven legal services, showcasing best practices and lessons learned.
• Regulatory perspectives: Examining emerging frameworks like GDPR and AI oversight to balance innovation with legal safeguards.

• This session will explore the emerging technologies reshaping digital justice ecosystems, examining AI-driven fraud prevention, blockchain contract integrity, and innovative judicial technologies globally.
• This session will provide a comprehensive panorama of technological interventions revolutionising legal operational frameworks, cybersecurity protocols, and dispute resolution mechanisms in the digital age.

• This session will explore how regulators can dynamically balance public protection and the fostering of innovation in AI and emerging technologies.
• It will cover adaptive regulatory frameworks, global standards for AI safety, and governance models that evolve with technological advancements. The focus will be on ensuring regulations remain effective in a rapidly changing digital landscape.

• This session will explore how to develop flexible policies for AI and robotics that balance innovation and societal protection.
• It will cover risk-based regulations, agile governance tools like sandboxes, and integrating diverse stakeholders’ perspectives to create effective, responsible policies.

• This talk presents a review of Advanced Air Mobility (AAM) research, focusing on corridor design and operational safety for eVTOLs.
• The study aims at findings highlight gaps in integrated design, demand-capacity management, and outdated regulatory reliance in order to guide future research and policy development for urban AAM.

• The session is about privacy preserving machine learning. We want to focus on how AI models are trained with data that is usually in clear.
• How can this data be secured to guarantee compliance with national regulations yet be useful for training our future models.
• Moreover, the keynote will also present some challenges and solutions on preserving data privacy when using this technology.

• As AI systems become integral to legal decision-making, their ability to generate convincing yet potentially inaccurate information—like deepfakes and large language model hallucinations—pose significant challenges.
• This session will shed light on how to validate AI-generated legal content, manage risks related to AI errors, and navigate emerging regulations around AI truthfulness.
• The session will also address how traditional frameworks of evidence, liability, and professional responsibility must evolve to maintain truth in the age of AI, highlighting the risks and consequences of ignorance.