Dr. Ayman Helmy Mohamed

1 Introduction AI's rapid integration into daily life offers vast benefits but raises serious ethical concerns. Key issues include algorithmic bias, privacy risks, and autonomous system dangers. Ethical AI requires multidisciplinary dialogue to establish frameworks balancing innovation and responsibility. Developing ethical guidelines and fostering a culture of accountability are crucial. Ultimately, ethical AI aims to ensure this technology empowers humanity while preserving core values. 2 Outline • AI and Its Applications • Key Ethical Challenges in AI • Social and Economic Impacts of AI • Ethical Frameworks and Guidelines 3 Summary The presentation on the Ethics of AI begins with an introduction defining AI and its growing societal impact, followed by an overview of AI applications in areas like healthcare, autonomous vehicles, and security. It highlights key ethical challenges including bias and fairness, privacy and surveillance, and accountability and transparency. The presentation explores AI's social and economic effects, such as job displacement, autonomous weapons, and human-AI trust issues. It then discusses ethical frameworks like the UNESCO’s AI Ethics Recommendations Act and IEEE standards and the role of governments, corporations, and developers in regulating AI. Proposed solutions include ethical AI by design, human oversight, and public awareness 4 Biography An accomplished AI and Digital Transformation Specialist with over 20 years of experience in transforming educational systems through cutting-edge technologies and strategic innovation. Known for designing, implementing, integrating, and rolling out complete AI and digital transformation solutions, with a proven track record of leading large-scale projects and driving change in the education sector. Leveraged a deep understanding of business and market dynamics to develop effective business models and drive improvements. Played a key role in modernizing Egypt's vocational education system by introducing ICT infrastructure models, modernized e-content (including drama-based and game-based content), virtual labs, social portals, and a specialized training framework. Participated in developing the national strategy for MCIT (Ministry of Communications and Information Technology) for the education sector and contributed to the launch of the first Egyptian tablet as part of the Egyptian Education Initiative. Expertise includes implementing AI-based products using computer vision and best practices in software management frameworks. Strong capabilities in applying pedagogy strategies during teaching computer science courses, particularly in the AI domain. Highly skilled in problem-solving, team building, and technical training, with experience in microservices architecture and AI advisory. Specialties: • Artificial intelligence • Digital transformation strategy • Microservice architecture • Researching and analyzing • Team building and collaboration • Problem-solving and flexibility • Technical training and high-level stakeholder engagement