Artificial Intelligence
Artificial intelligence (AI) research focuses on creating systems capable of performing tasks that typically require human intelligence, with current efforts concentrating on improving model alignment with human values, enhancing transparency and accountability in AI systems, and mitigating risks associated with bias and malicious use. Prominent approaches involve large language models (LLMs), deep learning architectures like nnU-Net, and reinforcement learning techniques, often applied within specific domains such as healthcare, cybersecurity, and scientific research. The widespread adoption of AI across diverse fields necessitates rigorous investigation into its ethical implications, safety, and societal impact, driving ongoing research to develop more robust, reliable, and responsible AI systems.
Papers
How VADER is your AI? Towards a definition of artificial intelligence systems appropriate for regulation
Leonardo C. T. Bezerra, Alexander E. I. Brownlee, Luana Ferraz Alvarenga, Renan Cipriano Moioli, Thais Vasconcelos Batista
Advancing Explainable AI Toward Human-Like Intelligence: Forging the Path to Artificial Brain
Yongchen Zhou, Richard Jiang
An Artificial Intelligence (AI) workflow for catalyst design and optimization
Nung Siong Lai, Yi Shen Tew, Xialin Zhong, Jun Yin, Jiali Li, Binhang Yan, Xiaonan Wang
The Foundations of Computational Management: A Systematic Approach to Task Automation for the Integration of Artificial Intelligence into Existing Workflows
Tamen Jadad-Garcia, Alejandro R. Jadad
Unmasking the Shadows of AI: Investigating Deceptive Capabilities in Large Language Models
Linge Guo
Ten Hard Problems in Artificial Intelligence We Must Get Right
Gavin Leech, Simson Garfinkel, Misha Yagudin, Alexander Briand, Aleksandr Zhuravlev
AI for non-programmers: Applied AI in the lectures for students without programming skills
Julius Schöning, Tim Wawer, Kai-Michael Griese
Advancing Legal Reasoning: The Integration of AI to Navigate Complexities and Biases in Global Jurisprudence with Semi-Automated Arbitration Processes (SAAPs)
Michael De'Shazer
Human-Centered AI Product Prototyping with No-Code AutoML: Conceptual Framework, Potentials and Limitations
Mario Truss, Marc Schmitt
A Human-Machine Collaboration Framework for the Development of Schemas
Nicos Isaak
Position: Stop Making Unscientific AGI Performance Claims
Patrick Altmeyer, Andrew M. Demetriou, Antony Bartlett, Cynthia C. S. Liem
A call for embodied AI
Giuseppe Paolo, Jonas Gonzalez-Billandon, Balázs Kégl
From Algorithm Worship to the Art of Human Learning: Insights from 50-year journey of AI in Education
Kaska Porayska-Pomsta
AI-Enhanced Virtual Reality in Medicine: A Comprehensive Survey
Yixuan Wu, Kaiyuan Hu, Danny Z. Chen, Jian Wu
Review on Fault Diagnosis and Fault-Tolerant Control Scheme for Robotic Manipulators: Recent Advances in AI, Machine Learning, and Digital Twin
Md Muzakkir Quamar, Ali Nasir
Avoiding an AI-imposed Taylor's Version of all music history
Nick Collins, Mick Grierson
A Review on Building Blocks of Decentralized Artificial Intelligence
Vid Kersic, Muhamed Turkanovic
AI-Generated Content Enhanced Computer-Aided Diagnosis Model for Thyroid Nodules: A ChatGPT-Style Assistant
Jincao Yao, Yunpeng Wang, Zhikai Lei, Kai Wang, Xiaoxian Li, Jianhua Zhou, Xiang Hao, Jiafei Shen, Zhenping Wang, Rongrong Ru, Yaqing Chen, Yahan Zhou, Chen Chen, Yanming Zhang, Ping Liang, Dong Xu
A Survey on Robotics with Foundation Models: toward Embodied AI
Zhiyuan Xu, Kun Wu, Junjie Wen, Jinming Li, Ning Liu, Zhengping Che, Jian Tang
History of generative Artificial Intelligence (AI) chatbots: past, present, and future development
Md. Al-Amin, Mohammad Shazed Ali, Abdus Salam, Arif Khan, Ashraf Ali, Ahsan Ullah, Md Nur Alam, Shamsul Kabir Chowdhury