
AI Compliance & Responsible AI Strategy
This service provides expert guidance on ensuring AI systems comply with global regulations, including GDPR and the EU AI Act. It includes an in-depth discussion on implementing responsible AI principles, risk assessment, and ethical considerations for AI adoption in businesses and research institutions. Organizations seeking to navigate the evolving landscape of AI governance will gain actionable insights to align their AI strategies with regulatory and ethical frameworks.
Expert Witness & Legal-Tech Consultation
This service is tailored for legal professionals, organizations, and businesses involved in AI-related disputes, intellectual property concerns, and compliance cases. With experience as an expert witness in AI regulations, digital twin technology, and intellectual property matters, I provide technical evaluations and insights to support legal proceedings. This includes reviewing AI patents, trademark disputes, and compliance-related litigation.
Digital Transformation for SMEs
This consultation is designed for small and medium enterprises looking to integrate AI-driven solutions into their business operations. The session will cover AI adoption strategies, automation tools, and digital transformation roadmaps while ensuring compliance with industry regulations. Businesses will learn how to leverage AI to improve efficiency, streamline decision-making, and maintain responsible AI practices.
Research & Innovation Strategy
Designed for PhD students, researchers, and institutions seeking guidance on AI research, this session covers research proposal development, AI applications in academia, and innovation funding opportunities. Whether you need help structuring a research project, identifying funding sources, or aligning research with industry trends, this session provides expert insights to support your academic and research initiatives.
AI Adoption and Ethical AI Development
This consultation provides strategic advice on integrating AI technologies while ensuring ethical AI development. Organizations will learn about bias mitigation, transparency in AI models, and responsible deployment strategies. The session will include discussions on aligning AI projects with ethical guidelines and regulatory requirements to foster trust and accountability.