This paper introduces the AI Pentad model, comprising humans/organizations, algorithms, data, computing, and energy, as a framework for AI regulation. It also presents the CHARME²D Model to link the AI Pentad with regulatory enablers like registration, monitoring, and enforcement. The paper assesses AI regulatory efforts in the EU, China, UAE, UK, and US using the CHARME²D model, highlighting strengths and weaknesses.
This commentary discusses the EU AI Act and its potential impact on AI regulation globally. It highlights the importance of balancing innovation with safety and security, particularly in sensitive sectors like healthcare. The author, Prof. Mérouane Debbah of TII, welcomes the EU's emphasis on transparency and the role of open-source models. Why it matters: The EU AI Act is likely to influence AI policy in the Middle East, prompting a need for regional alignment and consideration of its implications for research and development.
A Wilson Center report examines AI regulation strategies in Kenya, Ghana, and the African Union. It analyzes existing policy frameworks and provides insights into the challenges and opportunities for AI governance across the continent. The report highlights the need for context-specific AI regulations that promote innovation while addressing ethical concerns and potential risks. Why it matters: Offers valuable guidance for policymakers and stakeholders seeking to develop effective and responsible AI governance frameworks in Africa.
The Director-General of the Abu Dhabi Digital Authority, Mohamed Abdelhameed Al Askar, will give a talk on AI adoption in government. The talk will cover key points related to AI utilization within government organizations. Al Askar has experience managing digital initiatives such as the Abu Dhabi Government Services Program (TAMM). Why it matters: This signals the increasing importance of AI in public sector modernization efforts in the UAE and the broader region.
MBZUAI's Executive Program held a module on AI ethics, safety, and societal impacts, led by Professors Tom Mitchell and Justine Cassell. The session covered machine learning bias, privacy, AI's impact on jobs and education, and the ethical use of AI. Forty-two participants from ministerial leadership and top industry executives are part of the first cohort. Why it matters: This highlights MBZUAI and the UAE's commitment to ethical AI development as part of building a knowledge-based economy.