AI driving autonomous mobility vehicles into the future
Abstract
Autonomous vehicles (AVs) cover the gamut from robotaxis for consumers to autonomous mobility vehicles (AMVs) in factories, mines and warehouses, as well as everyday deliveries. They are all powered by artificial intelligence (AI), utilising computer vision and machine learning technologies to act as Edge AI mobility devices. This paper provides an update on the AVs of today, explains their improved technology stack and presents the challenges in building and deploying them in an ethical and value-generating way to help customers. The paper goes beyond presenting the technology to include practical use cases from the automotive, transport, hospitality and warehousing industries on how AMVs are utilising AI to automate workflow in an industry ecosystem of people, process and machines to create value from mobility. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.
The full article is available to subscribers to the journal.
Author's Biography
Sudha Jamthe is a technology futurist, a globally renowned author, educator and independent researcher with more than 25 years’ entrepreneurial and operational experience in the technology industry. Sudha is a top LinkedIn Learning instructor for courses on artificial intelligence (AI), generative AI, Agent AI and Internet of Things, who enjoys mentoring business leaders to innovate with No-Code AI. Her research focuses on AIX design, autonomous vehicles and language AI. Sudha builds online learning communities at Weeklywed at Business School of AI and spotlights the voices of women at IoTWomen. She has developed and taught AI, AI ethics and autonomous vehicles courses at Stanford Continuing Studies, Barcelona Technology School, Business School of AI and EMBA Consortium at Lucas School of Business. She co-founded Global South in AI and upskills language researchers for world languages.
Debika Sarkar is a Software Engineer and artificial intelligence (AI) Ethicist who serves as an AI Ethics Program Manager for the Business School of AI. She researches the latest technologies within the large language model (LLM) space, with a focus on making AI more transparent, inclusive and accessible. Debika has designed and implemented AI ethics curricula for international programmes, including a NeurIPS grant initiative teaching students in South Sudan to explore machine translation while preserving low-resource languages through the organisation, Global South in AI. She has also advised on ethical risk assessments of AI systems, vendor accountability, and the challenges of bias and fairness in large-scale models. With a background in enterprise regulation and software development, Debika offers a combination of technical and policy experience. She has built web applications for various clients and led workshops on responsible AI. As a researcher, Debika brings her perspective on the intersection of technology, ethics and language to guide readers in the rapidly evolving landscape of LLMs. She is committed to ensuring that conversations about AI are not only technically rigorous but also grounded in equity, accessibility and global context.
Apurva S. Meher is Senior Engineering Director at Ford Motor Company, where he leads multiple teams building modern software and data platforms and AI/ML solutions for the automotive industry. His organisation focuses on AI/ML and real-time data solutions, smart factory applications, next-generation MES, and intelligent vehicle solutions that improve the quality, productivity and cost across Ford’s global plants. He is passionate about making advanced technology practical on the factory floor while building high-performing, people-first engineering organizations that can adopt AI and modern software best practices at scale.
