Sangeeta Singh Highlights Ethical Gaps In AI-Powered Embedded Systems

We trust machines more than we realize바카라�every time we board a plane, drive through a smart traffic light, or rely on a medical device. What most people don바카라�t see is that artificial intelligence is now running quietly behind many of these systems, making decisions on the spot, without human input. As AI becomes faster, smaller, and more embedded in the hardware that powers our daily lives, it바카라�s not just helping us바카라�it바카라�s starting to act for us. These intelligent systems can detect problems, adapt in real time, and even prioritize outcomes. But with that power comes a new kind of responsibility: ensuring that machines make decisions we can understand, trust, and hold accountable. And as these systems become more autonomous, one engineer is raising concerns about the potential outcomes of not addressing the right ethical questions in time.

Sangeeta Singh, an experienced firmware engineer, is one of those highlighting to address AI바카라�s ethical implications in embedded systems. With over 17 years of experience working on mission-critical technologies in aerospace, defense, industrial automation, and smart infrastructure, Singh has played a key role in this transformation. Her work focuses on designing scalable firmware and building AI-powered test automation frameworks바카라�systems that must be both high-performing and deeply reliable.

바카라�AI is no longer just living in the cloud바카라�it바카라�s now embedded into the real-time systems that control things we depend on every day,바카라� Singh said. 바카라�In these environments, there's no room for guesswork. The decisions machines make must be transparent and traceable.바카라�

Singh바카라�s recent research delves deeper into this topic. Her peer-reviewed paper, 바카라�Ethical AI in IoT and Embedded Systems: Investigating Ethical Considerations and Frameworks for AI-Driven Decision-Making바카라�, was published in the Journal of Computational Analysis and Applications (Vol. 33, No. 8, 2024), and explores how ethical frameworks can be adapted to low-power, edge-based AI systems. The study focuses on four essential principles: trust, transparency, privacy, and accountability.

The paper proposes using Explainable AI (XAI)바카라�an approach that helps people understand how AI arrives at its conclusions바카라�along with stronger regulatory oversight and closer collaboration between engineers, ethicists, and policymakers. Singh argues that this is especially important in embedded systems, which often operate autonomously in real-world environments with little or no human supervision.

바카라�What바카라�s concerning is that these systems are often invisible to the people they affect,바카라� Singh explained. 바카라�If an embedded AI system decides to reroute a vehicle, adjust factory equipment, or manage energy use in a building, we need to know why and ensure it aligns with human values.바카라�

Singh is researching these issues and applying them. She바카라�s helping to lead the integration of ethical considerations into real-time firmware design and automation tools. In addition to her engineering role, she conducts independent research aimed at promoting responsible AI practices in smart manufacturing and smart cities.

Her goal is to encourage the industry beyond functionality and performance바카라�and into a future where intelligent systems are not only efficient but also explainable and fair.

As AI continues to combine into the background of modern life, Singh바카라�s work reflects that the technology guiding our future still needs a human conscience. And now is the time to build it in.

About Sangeeta Singh

Sangeeta Singh is a firmware engineer with over 17 years of experience in embedded systems, real-time automation, and AI-integrated technologies. Her work spans critical sectors including aerospace, defense, industrial automation, and smart infrastructure. She is an independent researcher focused on the ethical integration of artificial intelligence in embedded and IoT systems, with recent peer-reviewed work published in the Journal of Computational Analysis and Applications. Singh is dedicated to developing ethical frameworks for AI in smart manufacturing and smart cities, advocating for transparency, accountability, and human-aligned decision-making in autonomous technologies.