David Hall presented on the Data Sovereignty concept at the BGF Conference on April 30, 2024, Harvard University Loeb House. His presentation focused on the introduction to Data Sovereignty – Knowledge Platform for AI, emphasizing the essential influence of AI and its impact on various sectors such as healthcare and national security.
Introduction to Data Sovereignty: David Hall began by highlighting the significance of Data Sovereignty, emphasizing its role as a potential foundation of AI. He underscored the importance of understanding and asserting control over data in an era dominated by AI technologies.
The Knowledge Platform for AI: It is more than just a data repository, it is the wealth of human knowledge to be harnessed into a beacon for ethical AI, aligning with the Social Contract for the AI Age. The platform seeks to aggregate vast amounts of data, insights, and expertise from around the globe, supported by partnerships with esteemed institutions like Harvard, MIT, and Stanford.
Ethical Framework and Global Collaboration: Hall outlined the platform’s high standards for AI development, ensuring alignment with ethical practices and human values. He emphasized global collaboration through seminars, conferences, and discussions to foster innovation and dialogue.
Memorandum of Understanding – Strategic Goals: Hall discussed the formalization of collaboration between BGF, AIWS, TAMP, and AKT Health, establishing a unified commitment to enhance and support the Knowledge Platform for AI.
Technological and Educational Advances: Hall highlighted technological advancements such as blockchain for data integrity and smart contracts. He also emphasized educational initiatives and upskilling programs to promote ethical AI usage across diverse sectors.
Vision for the Future: Hall concluded his talk by outlining the vision for the future, aiming to empower and enhance human capabilities without compromising values or autonomy. He called on the global community to participate actively in ethical AI development, emphasizing the importance of collective responsibility in shaping the future of AI.
