Can transformative AI shape a new age for our civilization?: Navigating between speculation and reality
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Lobo, Jesus L., Del Ser, Javier |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
World Models in Artificial Intelligence: Sensing, Learning, and Reasoning Like a Child
par: Del Ser, Javier, et autres
Publié: (2025)
par: Del Ser, Javier, et autres
Publié: (2025)
Resilience to the Flowing Unknown: an Open Set Recognition Framework for Data Streams
par: Barcina-Blanco, Marcos, et autres
Publié: (2024)
par: Barcina-Blanco, Marcos, et autres
Publié: (2024)
AiGAS-dEVL: An Adaptive Incremental Neural Gas Model for Drifting Data Streams under Extreme Verification Latency
par: Arostegi, Maria, et autres
Publié: (2024)
par: Arostegi, Maria, et autres
Publié: (2024)
Fostering Intrinsic Motivation in Reinforcement Learning with Pretrained Foundation Models
par: Andres, Alain, et autres
Publié: (2024)
par: Andres, Alain, et autres
Publié: (2024)
Fast and scalable retrosynthetic planning with a transformer neural network and speculative beam search
par: Andronov, Mikhail, et autres
Publié: (2025)
par: Andronov, Mikhail, et autres
Publié: (2025)
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning
par: Pathmanathan, Pankayaraj, et autres
Publié: (2023)
par: Pathmanathan, Pankayaraj, et autres
Publié: (2023)
We Can't Understand AI Using our Existing Vocabulary
par: Hewitt, John, et autres
Publié: (2025)
par: Hewitt, John, et autres
Publié: (2025)
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Societal Implications and Responsible Governance
par: Triguero, Isaac, et autres
Publié: (2023)
par: Triguero, Isaac, et autres
Publié: (2023)
Using Offline Data to Speed Up Reinforcement Learning in Procedurally Generated Environments
par: Andres, Alain, et autres
Publié: (2023)
par: Andres, Alain, et autres
Publié: (2023)
A Design Framework for operationalizing Trustworthy Artificial Intelligence in Healthcare: Requirements, Tradeoffs and Challenges for its Clinical Adoption
par: Moreno-Sánchez, Pedro A., et autres
Publié: (2025)
par: Moreno-Sánchez, Pedro A., et autres
Publié: (2025)
Emerging NeoHebbian Dynamics in Forward-Forward Learning: Implications for Neuromorphic Computing
par: Terres-Escudero, Erik B., et autres
Publié: (2024)
par: Terres-Escudero, Erik B., et autres
Publié: (2024)
In between myth and reality: AI for math -- a case study in category theory
par: Diaconescu, Răzvan
Publié: (2025)
par: Diaconescu, Răzvan
Publié: (2025)
The Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways
par: Molina, Daniel, et autres
Publié: (2025)
par: Molina, Daniel, et autres
Publié: (2025)
On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications
par: Andres, Alain, et autres
Publié: (2024)
par: Andres, Alain, et autres
Publié: (2024)
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations (from 2020 to 2024)
par: Molina, Daniel, et autres
Publié: (2020)
par: Molina, Daniel, et autres
Publié: (2020)
On the Improvement of Generalization and Stability of Forward-Only Learning via Neural Polarization
par: Terres-Escudero, Erik B., et autres
Publié: (2024)
par: Terres-Escudero, Erik B., et autres
Publié: (2024)
When AI Eats Itself: On the Caveats of AI Autophagy
par: Xing, Xiaodan, et autres
Publié: (2024)
par: Xing, Xiaodan, et autres
Publié: (2024)
Words as Beacons: Guiding RL Agents with High-Level Language Prompts
par: Ruiz-Gonzalez, Unai, et autres
Publié: (2024)
par: Ruiz-Gonzalez, Unai, et autres
Publié: (2024)
A Prescription of Methodological Guidelines for Comparing Bio-inspired Optimization Algorithms
par: LaTorre, Antonio, et autres
Publié: (2020)
par: LaTorre, Antonio, et autres
Publié: (2020)
Forward-Forward Learning achieves Highly Selective Latent Representations for Out-of-Distribution Detection in Fully Spiking Neural Networks
par: Terres-Escudero, Erik B., et autres
Publié: (2024)
par: Terres-Escudero, Erik B., et autres
Publié: (2024)
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness
par: Poyatos, Javier, et autres
Publié: (2023)
par: Poyatos, Javier, et autres
Publié: (2023)
Beyond speculation: Measuring the growing presence of LLM-generated texts in multilingual disinformation
par: Macko, Dominik, et autres
Publié: (2025)
par: Macko, Dominik, et autres
Publié: (2025)
Can an Embodied Agent Find Your "Cat-shaped Mug"? LLM-Guided Exploration for Zero-Shot Object Navigation
par: Dorbala, Vishnu Sashank, et autres
Publié: (2023)
par: Dorbala, Vishnu Sashank, et autres
Publié: (2023)
A Framework for Responsible AI Systems: Building Societal Trust through Domain Definition, Trustworthy AI Design, Auditability, Accountability, and Governance
par: Herrera-Poyatos, Andrés, et autres
Publié: (2025)
par: Herrera-Poyatos, Andrés, et autres
Publié: (2025)
Can AI be Accountable?
par: Kun, Andrew L.
Publié: (2025)
par: Kun, Andrew L.
Publié: (2025)
A Collaborative Content Moderation Framework for Toxicity Detection based on Conformalized Estimates of Annotation Disagreement
par: Villate-Castillo, Guillermo, et autres
Publié: (2024)
par: Villate-Castillo, Guillermo, et autres
Publié: (2024)
AI Agents and Agentic AI-Navigating a Plethora of Concepts for Future Manufacturing
par: Ren, Yinwang, et autres
Publié: (2025)
par: Ren, Yinwang, et autres
Publié: (2025)
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects
par: Poyatos, Javier, et autres
Publié: (2024)
par: Poyatos, Javier, et autres
Publié: (2024)
Bipolar fuzzy relation equations systems based on the product t-norm
par: Cornejo, M. Eugenia, et autres
Publié: (2024)
par: Cornejo, M. Eugenia, et autres
Publié: (2024)
Reducing fuzzy relation equations via concept lattices
par: Lobo, David, et autres
Publié: (2024)
par: Lobo, David, et autres
Publié: (2024)
Consciousness as a logically consistent and prognostic model of reality
par: Vityaev, Evgenii
Publié: (2023)
par: Vityaev, Evgenii
Publié: (2023)
Can AI expose tax loopholes? Towards a new generation of legal policy assistants
par: Fratrič, Peter, et autres
Publié: (2025)
par: Fratrič, Peter, et autres
Publié: (2025)
Mind over Space: Can Multimodal Large Language Models Mentally Navigate?
par: Zhu, Qihui, et autres
Publié: (2026)
par: Zhu, Qihui, et autres
Publié: (2026)
EXP-Bench: Can AI Conduct AI Research Experiments?
par: Kon, Patrick Tser Jern, et autres
Publié: (2025)
par: Kon, Patrick Tser Jern, et autres
Publié: (2025)
Navigating the EU AI Act: A Methodological Approach to Compliance for Safety-critical Products
par: Kelly, J., et autres
Publié: (2024)
par: Kelly, J., et autres
Publié: (2024)
LiveMCPBench: Can Agents Navigate an Ocean of MCP Tools?
par: Mo, Guozhao, et autres
Publié: (2025)
par: Mo, Guozhao, et autres
Publié: (2025)
Can AI be Consentful?
par: Pistilli, Giada, et autres
Publié: (2025)
par: Pistilli, Giada, et autres
Publié: (2025)
Project Rachel: Can an AI Become a Scholarly Author?
par: Monperrus, Martin, et autres
Publié: (2025)
par: Monperrus, Martin, et autres
Publié: (2025)
Can AI Perceive Physical Danger and Intervene?
par: Jindal, Abhishek, et autres
Publié: (2025)
par: Jindal, Abhishek, et autres
Publié: (2025)
AI-as-exploration: Navigating intelligence space
par: Mollo, Dimitri Coelho
Publié: (2024)
par: Mollo, Dimitri Coelho
Publié: (2024)
Documents similaires
-
World Models in Artificial Intelligence: Sensing, Learning, and Reasoning Like a Child
par: Del Ser, Javier, et autres
Publié: (2025) -
Resilience to the Flowing Unknown: an Open Set Recognition Framework for Data Streams
par: Barcina-Blanco, Marcos, et autres
Publié: (2024) -
AiGAS-dEVL: An Adaptive Incremental Neural Gas Model for Drifting Data Streams under Extreme Verification Latency
par: Arostegi, Maria, et autres
Publié: (2024) -
Fostering Intrinsic Motivation in Reinforcement Learning with Pretrained Foundation Models
par: Andres, Alain, et autres
Publié: (2024) -
Fast and scalable retrosynthetic planning with a transformer neural network and speculative beam search
par: Andronov, Mikhail, et autres
Publié: (2025)