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
Unveiling the Potential of AI for Nanomaterial Morphology Prediction
Ivan Dubrovsky, Andrei Dmitrenko, Aleksei Dmitrenko, Nikita Serov, Vladimir Vinogradov
A Robot Walks into a Bar: Can Language Models Serve as Creativity Support Tools for Comedy? An Evaluation of LLMs' Humour Alignment with Comedians
Piotr Wojciech Mirowski, Juliette Love, Kory W. Mathewson, Shakir Mohamed
Responsible AI for Earth Observation
Pedram Ghamisi, Weikang Yu, Andrea Marinoni, Caroline M. Gevaert, Claudio Persello, Sivasakthy Selvakumaran, Manuela Girotto, Benjamin P. Horton, Philippe Rufin, Patrick Hostert, Fabio Pacifici, Peter M. Atkinson
There and Back Again: The AI Alignment Paradox
Robert West, Roland Aydin
Who Writes the Review, Human or AI?
Panagiotis C. Theocharopoulos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
A Triumvirate of AI Driven Theoretical Discovery
Yang-Hui He
Strategies to Counter Artificial Intelligence in Law Enforcement: Cross-Country Comparison of Citizens in Greece, Italy and Spain
Petra Saskia Bayerl, Babak Akhgar, Ernesto La Mattina, Barbara Pirillo, Ioana Cotoi, Davide Ariu, Matteo Mauri, Jorge Garcia, Dimitris Kavallieros, Antonia Kardara, Konstantina Karagiorgou
Lifelong learning challenges in the era of artificial intelligence: a computational thinking perspective
Margarida Romero
AI Safety: A Climb To Armageddon?
Herman Cappelen, Josh Dever, John Hawthorne
AI with Alien Content and Alien Metasemantics
Herman Cappelen, Josh Dever
Artificial Intelligence Index Report 2024
Nestor Maslej, Loredana Fattorini, Raymond Perrault, Vanessa Parli, Anka Reuel, Erik Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Russell Wald, Jack Clark
Interdisciplinary Expertise to Advance Equitable Explainable AI
Chloe R. Bennett, Heather Cole-Lewis, Stephanie Farquhar, Naama Haamel, Boris Babenko, Oran Lang, Mat Fleck, Ilana Traynis, Charles Lau, Ivor Horn, Courtney Lyles
Challenge-Device-Synthesis: A multi-disciplinary approach for the development of social innovation competences for students of Artificial Intelligence
Matías Bilkis, Joan Moya Kohler, Fernando Vilariño
The ethical situation of DALL-E 2
Eduard Hogea, Josem Rocafortf
Why Reinforcement Learning in Energy Systems Needs Explanations
Hallah Shahid Butt, Benjamin Schäfer
Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems
Alexander Windmann, Philipp Wittenberg, Marvin Schieseck, Oliver Niggemann
Improved Emotional Alignment of AI and Humans: Human Ratings of Emotions Expressed by Stable Diffusion v1, DALL-E 2, and DALL-E 3
James Derek Lomas, Willem van der Maden, Sohhom Bandyopadhyay, Giovanni Lion, Nirmal Patel, Gyanesh Jain, Yanna Litowsky, Haian Xue, Pieter Desmet