AI in Software Development: Societal Implications and Ethical Pathways.
Virtual: https://events.vtools.ieee.org/m/452444Abstract: As artificial intelligence increasingly influences software development practices, this talk examines the balance between technological advancement and sustainable technical expertise. Drawing from real-world experience in enterprise software development, I will explore the societal implications of AI tool adoption in programming, focusing on educational equity, knowledge sustainability, and ethical considerations for the future of software engineering. Anujkumarsinh Donvir is a Data Visualization Application Development Expert specializing in JavaScript technologies, including NodeJS, React, and Angular. He holds a Master's in Computer Science from Fairleigh Dickinson University, New Jersey, USA and Bachelor’s degree in Electronics and Communications Engineering from Saurashtra University, Gujarat, India. With over 15 years of experience in the tech industry, Donvir has contributed to transformative enterprise software projects, pioneering applications that transform complex datasets into actionable insights and drive data-informed decision-making across industries. He holds a key role of Lead Application Developer at ADP, where he is bringing power of data to HR managers and Executives to help them make informed decisions for their workforce. He has held engineer and senior engineer positions at companies like Nokia and Tata in the past. As an active member of IEEE and academia, Donvir is a IEEE Sr Member and has published 5 research papers and holds a patent to his name. He is passionate about serving the technology community and young engineers which is highlighted through his involvement as coach and teacher at platforms such as Code the Dream where he teaches a class of React Programming. He is an advocate for human-centered AI strategies, ensuring the empowerment of diverse communities while safeguarding core engineering competencies for future generations. Speaker(s): , Anuj Virtual: https://events.vtools.ieee.org/m/452444