Copertina

Clinically Meaningful Explainability for NeuroAI: An ethical, technical, and clinical perspective

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Schopp, Laura, DImperio, Ambra, Etesami, Jalal, Ienca, Marcello
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computers and Society Artificial Intelligence Neurons and Cognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

NeuroAI and Beyond: Bridging Between Advances in Neuroscience and ArtificialIntelligence
di: Zador, Anthony, et al.
Pubblicazione: (2026)

Brain-Model Evaluations Need the NeuroAI Turing Test
di: Feather, Jenelle, et al.
Pubblicazione: (2025)

Minding rights: Mapping ethical and legal foundations of 'neurorights'
di: Ligthart, Sjors, et al.
Pubblicazione: (2023)

Taking AI Welfare Seriously
di: Long, Robert, et al.
Pubblicazione: (2024)

A Computational Perspective on NeuroAI and Synthetic Biological Intelligence
di: Patel, Dhruvik, et al.
Pubblicazione: (2025)

Developing a General Personal Tutor for Education
di: Aru, Jaan, et al.
Pubblicazione: (2025)

Artificial intelligence and the internal processes of creativity
di: Aru, Jaan
Pubblicazione: (2024)

Roles of LLMs in the Overall Mental Architecture
di: Sun, Ron
Pubblicazione: (2024)

Dissociating Artificial Intelligence from Artificial Consciousness
di: Findlay, Graham, et al.
Pubblicazione: (2024)

Can a Machine be Conscious? Towards Universal Criteria for Machine Consciousness
di: Anwar, Nur Aizaan, et al.
Pubblicazione: (2024)

NeuralBench: A Unifying Framework to Benchmark NeuroAI Models
di: Banville, Hubert, et al.
Pubblicazione: (2026)

Measuring Creativity in the Age of Generative AI: Distinguishing Human and AI-Generated Creative Performance in Hiring and Talent Systems
di: Rosen, Yigal, et al.
Pubblicazione: (2026)

The Illusion of Opting in AI-Mediated Consequential Decisions
di: Ji, Eugene Yu
Pubblicazione: (2026)

The Memory Paradox: Why Our Brains Need Knowledge in an Age of AI
di: Oakley, Barbara, et al.
Pubblicazione: (2025)

Uncertainty Quantification in Alzheimer's Disease Progression Modeling
di: Mobeirek, Wael, et al.
Pubblicazione: (2024)

Positive Alignment: Artificial Intelligence for Human Flourishing
di: Laukkonen, Ruben, et al.
Pubblicazione: (2026)

The Machine Can't Replace the Human Heart
di: Lin, Baihan
Pubblicazione: (2024)

Neuropsychology and Explainability of AI: A Distributional Approach to the Relationship Between Activation Similarity of Neural Categories in Synthetic Cognition
di: Pichat, Michael, et al.
Pubblicazione: (2024)

NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders
di: Ding, Jun-En, et al.
Pubblicazione: (2025)

The Cognitive Divergence: AI Context Windows, Human Attention Decline, and the Delegation Feedback Loop
di: Eliav, Netanel
Pubblicazione: (2026)

Short-term AI literacy intervention does not reduce over-reliance on incorrect ChatGPT recommendations
di: Puppart, Brett, et al.
Pubblicazione: (2025)

Metacognition Should Be the Scientific Framework for Bounded and Effective Self-Governance in Generative AI
di: Ji, Eugene Yu, et al.
Pubblicazione: (2026)

A Bio-Inspired Research Paradigm of Collision Perception Neurons Enabling Neuro-Robotic Integration: The LGMD Case
di: Qin, Ziyan, et al.
Pubblicazione: (2025)

Neuro-Symbolic Decoding of Neural Activity
di: Wang, Yanchen, et al.
Pubblicazione: (2026)

CTM-AI: A Blueprint for General AI Inspired by a Model of Consciousness
di: Yu, Haofei, et al.
Pubblicazione: (2026)

The Cartesian Cut in Agentic AI
di: Sainburg, Tim, et al.
Pubblicazione: (2026)

Neural Erosion: Emulating Controlled Neurodegeneration and Aging in AI Systems
di: Alexos, Antonios, et al.
Pubblicazione: (2024)

From generative AI to the brain: five takeaways
di: Gros, Claudius
Pubblicazione: (2025)

Cognitive Models and AI Algorithms Provide Templates for Designing Language Agents
di: Liu, Ryan, et al.
Pubblicazione: (2026)

Scale-Invariance Drives Convergence in AI and Brain Representations
di: Yu, Junjie, et al.
Pubblicazione: (2025)

Shifting Attention to You: Personalized Brain-Inspired AI Models
di: Zhao, Stephen Chong, et al.
Pubblicazione: (2025)

Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science
di: Mao, Rui, et al.
Pubblicazione: (2025)

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
di: Said, Anwar, et al.
Pubblicazione: (2023)

A Case for AI Consciousness: Language Agents and Global Workspace Theory
di: Goldstein, Simon, et al.
Pubblicazione: (2024)

Morality in AI. A plea to embed morality in LLM architectures and frameworks
di: Bombaerts, Gunter, et al.
Pubblicazione: (2025)

From Prediction to Understanding: Will AI Foundation Models Transform Brain Science?
di: Serre, Thomas, et al.
Pubblicazione: (2025)

Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI
di: Arslan, Suayb S.
Pubblicazione: (2024)

Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer
di: Saxena, Rajat, et al.
Pubblicazione: (2024)

Dimensions of Vulnerability in Visual Working Memory: An AI-Driven Approach to Perceptual Comparison
di: Cao, Yuang, et al.
Pubblicazione: (2025)

Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems
di: Noori, Ayush, et al.
Pubblicazione: (2025)