These aren’t the droids you’re looking for: artificial intelligence and safety in future transport systems DOI
Paul M. Salmon

Transportation Planning and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 5

Published: Nov. 12, 2024

Language: Английский

Generative AI and Its Potential Impact on Humanity DOI

Rana Salah Nasr,

Sara El‐Deeb

International Journal of Consumer Studies, Journal Year: 2025, Volume and Issue: 49(1)

Published: Jan. 1, 2025

ABSTRACT This study explores the evolving circumstances of generative artificial intelligence (AI) and its implications for humanity. A central question guides this exploration: “ What is humanity in a world with human‐like machines ?” as proposed by Suleyman (2023). Multiple streams literature have been integrated to employ holistic approach. includes an extensive review analysis recent developments, incorporating insights from various sources experts key domains such AI, AI singularity, ethics, digital transformation, human‐machine collaboration, societal implications. While rapid advancements captured widespread attention, particular emphasis on positive potential, it equally vital address potential negative impacts, including human displacement, lower wages, increased power income inequality (Farina, Yu, Lavazza 2024). Despite varying scholarly perspectives concept there consensus that significantly impacts humans society requires careful consideration. The National Institute Standards Technology (NIST) European Parliament highlight global significance addressing challenges. From practical perspective, these enormous governments, business leaders, scholars, society.

Language: Английский

Citations

0

Securing AGI-Driven Drone Communications for Climate Change DOI

Thabit Mehmood,

Hafiz Muhammad Attaullah, Mahmoud Ibrahim

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 97 - 152

Published: Feb. 28, 2025

This chapter provides a comprehensive review of deep learning-based intrusion detection systems for securing Artificial General Intelligence driven drone communications in climate change applications. We examine the evolution UAV security from basic cryptographic methods to sophisticated AI-driven approaches, with emphasis on unique requirements applications operating challenging environments. The explores foundational mechanisms before analyzing advanced DL architectures, including CNN, LSTM, hybrid and graph neural networks swarm security. discussion encompasses cutting-edge paradigms such as Zero Trust-Architecture, post-quantum-cryptography, AGI safety considerations essential autonomous systems. It concludes research agenda addressing quantum-resistant, federated learning, self-adaptive formal verification providing framework challenges at critical intersection AGI, tech,

Language: Английский

Citations

0

Artificial General Intelligence-Powered Drones for Climate-Responsive Infrastructure DOI
Muhammad Ameer Hamza, Muhammad Adeem Abbas,

Zaid Muhammad

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 25 - 40

Published: Feb. 28, 2025

This chapter explores the integration of autonomous, intelligent, and adaptable solutions to address challenges climate change poses infrastructure sustainability. Traditional maintenance monitoring approaches are often reactive, costly, inefficient, particularly in face rising global temperatures environmental unpredictability. The focuses on potential drone technology combined with artificial general intelligence (AGI) create climate-responsive solutions. AGI-powered drones can enhance real-time monitoring, predictive maintenance, adaptation strategies, ability evolve improve over time. discusses design, applications, advantages, limitations for management. It also examines how these support augment traditional human-led efforts, creating a hybrid approach that enhances resilience efficiency.

Language: Английский

Citations

0

Artificial intelligence applications in the football codes: A systematic review DOI Creative Commons
Isaiah Elstak, Paul M. Salmon, Scott McLean

et al.

Journal of Sports Sciences, Journal Year: 2024, Volume and Issue: 42(13), P. 1184 - 1199

Published: July 2, 2024

Artificial Intelligence (AI) is increasingly being adopted across many domains such as transport, healthcare, defence and sport, with football codes no exception. Though there a range of potential benefits AI, concern has also been expressed regarding risks. An important first step in ensuring that AI applications are usable, beneficial, safe ethical to understand the current applications, models their proposed functions. This systematic review aimed identify different synthesise knowledge determine whether risks considered. The included 190 peer-reviewed articles. Nine areas application were found ranging from athlete evaluation event detection match outcome prediction injury prediction. In total, 27 identified, artificial neural networks most frequently applied. Five assessment metrics identified including specificity, recall, precision, accuracy F1-score. Four concerning data security, usability, biases inappropriate load management. It concluded that, though wide currently exist, further work required develop for manage

Language: Английский

Citations

2

Ergonomic LLM or LLM for Ergonomics? Prompt engineering insights for an interventional case study DOI Creative Commons
Alireza Mortezapour

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: April 23, 2024

Abstract Background With the arrival of new technologies associated with fourth industrial revolution (IR 4.0), way humans interact technology has undergone fundamental changes. In last two years, a generation technology, large language models (LLMs), and leader position ChatGPT from OpenAI gained lot attention. Objective current study, prompt engineering technique usefulness regards to Human-Chat GPT interaction is discussed. Methods Three types Chat including zero-shot, little-shot fine-tune prompting are considered. Results Our small case study implies that can be influenced under proper usage engineering. Conclusion I implied that, included in future Human Factors Ergonomics courses academia (for ergonomists) or industries employees employers).

Language: Английский

Citations

1

Tomorrow’s demons: a scoping review of the risks associated with emerging technologies DOI Creative Commons
Paul M. Salmon, Brandon J. King, Isaiah Elstak

et al.

Ergonomics, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 17

Published: Oct. 22, 2024

Society faces a growing set of risks from advanced emerging technologies. While there has been discussion on some these risks, comprehensive overview does not exist, and it is clear what methods are suited to identify future risks. This scoping review aimed synthesise current knowledge regarding the associated with The findings show that diverse technologies have considered, ten risk themes identified: human health wellbeing, sub-standard technology legal ethical privacy security socioeconomic impacts, ecological environmental malicious use geopolitical technological unemployment existential threats. It concluded need expand focus prospective assessments consider organisational, sociotechnical societal systems in which will be deployed. development classification scheme also recommended.

Language: Английский

Citations

0

Conceptual Modeling for Public AI Systems DOI
Shenghong Ju, Sung-Jea Ko, Andrew Lim

et al.

Lecture notes in computer science, Journal Year: 2024, Volume and Issue: unknown, P. 107 - 123

Published: Oct. 25, 2024

Language: Английский

Citations

0

Building a Sustainable Development Education System for Large Organizations Based on Artificial Intelligence of Things DOI Open Access
Hsin‐Te Wu, Jianping Li, Mu‐Yen Chen

et al.

Journal of Organizational and End User Computing, Journal Year: 2024, Volume and Issue: 36(1), P. 1 - 19

Published: Nov. 29, 2024

This paper proposes building a sustainable development computing system for large organizations based on AI and IoT. The leverages to calculate the carbon emissions caused by organizations' activities utilizes IoT devices monitor compute environmental coefficients. also employs automated achieve net-zero emissions. By integrating weather forecast information from meteorological agencies understand external conditions, consulting knowledge database devise appropriate response strategies, can activate relevant equipment improve both organization's living environment emission processes. feasibility practical application of this will be demonstrated through actual simulations enhance its viability effectiveness.

Language: Английский

Citations

0

These aren’t the droids you’re looking for: artificial intelligence and safety in future transport systems DOI
Paul M. Salmon

Transportation Planning and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 5

Published: Nov. 12, 2024

Language: Английский

Citations

0