Barriers To Adoption Of Artificial Intelligence In Metal Additive Manufacturing
Download Barriers To Adoption Of Artificial Intelligence In Metal Additive Manufacturing PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Barriers To Adoption Of Artificial Intelligence In Metal Additive Manufacturing book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Barriers to Adoption of Artificial Intelligence in Metal Additive Manufacturing
Artificial intelligence (AI) is poised to significantly impact metal additive manufacturing (AM). Understanding how one might use AI in AM is challenging because AM experts are not AI experts, nor the other way around. This document introduces AI in AM and guides researchers in accessing relevant literature. It also discusses the hype surrounding AI in AM, the rush to publish peer-reviewed papers that use AI in AM, and the resulting uneven quality of the literature. Conclusions regarding the application of AI in both large and small enterprises are discussed. This document is intended to help illuminate AI in AM for Hands-on engineers who need to quickly understand what levels of problems they might encounter when dealing with AI in AM Engineering managers who need to stay current on emerging trends in their technical realm of responsibilities Policymakers who may not have the relevant technical expertise Faculty and students who want an introduction to AI in AM ISBN 9781468609219 ISBN 9781468609226 https://doi.org/10.4271/EPR2025001
AI in Wonderland
This report explores the move from traditional industry practices to emerging technologies, specifically the integration of artificial intelligence (AI) solutions in engineering service sectors. It highlights the increasing problem of “technology washing,” when organizations overstate (sometimes deceivingly) their technology abilities and ethics, posing challenges to accountability, transparency, and trust in various fields. The rise of AI-based solutions in sectors like autonomous mobility, manufacturing, and aerospace has exposed a contrast between ambitious future aspirations and current technological barriers. With this, the role of human knowledge in guaranteeing ethical, efficient, and clear technology incorporation becomes essential. Starting with an examination of today’s technological scene, this report tackles topics such as the buzz around autonomous systems and the difficulties of standardizing fresh innovations. It also points out the problem of organizations exaggerating the capabilities of AI, stressing the importance of human monitoring to manage operational risks and uphold public trust. Practical scenarios in autonomous mobility, aerospace, and manufacturing highlight a significant discrepancy between industry targets and technological feasibilities, stressing the indispensable contribution of human intervention in ensuring successful implementation. These examples are analyzed to give insights into current technology successes and limitations and to propose a balanced path for the future. Ultimately, there may be a future where groundbreaking technological advancements remain in harmony with human values. This report challenges established narratives and outlines a path for ethical technological advancement that is transparent and in line with societal values, examining questions like the following: What are some popular misunderstandings and exaggerated claims regarding AI capabilities today? Examine the divide between how the public sees things and what’s actually true in the context of deceptive AI practices and inflated statements. How do organizations maintain a balance between rapid technological adoption and human oversight? Explore ways to maintain human knowledge in decision-making processes despite technological advances. What are stakeholders’ views on the reliability and safety of autonomous technologies? Investigate the certainty levels in crucial systems that have implications for public safety and business continuity. What are the risks associated with overusing AI for critical functions? Highlight the potential pitfalls of excessive reliance on AI without proper backup systems or redundancy plans. NOTE: SAE Edge Research Reports are intended to identify and illuminate key issues in emerging, but still unsettled, technologies of interest to the mobility industry. The goal of SAE Edge Research Reports is to stimulate discussion and work in the hope of promoting and speeding resolution of identified issues. These reports are not intended to resolve the challenges they identify or close any topic to further scrutiny. ISBN 9781468609233 ISBN 9781468609240 https://doi.org/10.4271/EPR2025002
Advances in Production Technology
This edited volume contains the selected papers presented at the scientific board meeting of the German Cluster of Excellence on “Integrative Production Technology for High-Wage Countries”, held in November 2014. The topical structure of the book is clustered in six sessions: Integrative Production Technology, Individualised Production, Virtual Production Systems, Integrated Technologies, Self-Optimising Production Systems and Human Factors in Production Technology. The Aachen perspective on a holistic theory of production is complemented by conference papers from external leading researchers in the fields of production, materials science and bordering disciplines. The target audience primarily comprises research experts and practitioners in the field but the book may also be beneficial for graduate students.