Exploring the Bidirectional Relationship Between Artificial Intelligence and Neuroscience : Proceedings of a Workshop.

Format:

Book

Author/Creator:

Norris, Sheena M. Posey.

Contributor:

Childers, Eva.

Ford, Celia.

Language:

English

Subjects (All):

Artificial intelligence.

Neurosciences.

Physical Description:

1 online resource (85 pages)

Edition:

1st ed.

Place of Publication:

Washington : National Academies Press Nov. 2024

Washington, D.C. : National Academies Press, 2024.

Summary:

This book explores the dynamic interplay between artificial intelligence (AI) and neuroscience, focusing on their mutual influences and collaborative potential. It examines the transformative effects of AI on cognitive neuroscience and medical applications, including precision medicine and clinical practices. The text also addresses ethical considerations, regulatory policies, and public engagement, emphasizing the importance of privacy, inclusivity, and sustainability. It is based on workshop proceedings and contributions from experts in neuroscience, AI, and health policy, aiming to enhance understanding and foster advancements in these interconnected fields. The intended audience includes researchers, medical professionals, policymakers, and stakeholders in AI and neuroscience. Generated by AI.

Contents:

COVER PAGE

TITLE PAGE

COPYRIGHT PAGE

TABLE OF CONTENTS

ACRONYMS AND ABBREVIATIONS

1 BACKGROUND AND INTRODUCTION

Workshop Objectives

Introductory Remarks

Organization of the Proceedings

2 THE BIDIRECTIONALITY OF NEUROSCIENCE AND ARTIFICIAL INTELLIGENCE

The Efects of Neuroscience on AI

The Role of AI in Cognitive Neuroscience

The Impact of AI on Neuroscientifc Discoveries

Bridging Neuroscience and AI with Multiscale, Multimodal Data

Navigating the Intersection of AI and Neuroscience

Discussion

3 RESEARCH AND DEVELOPMENT CONSIDERATIONS FOR NEUROSCIENCE AND AI

Co-Evolution of Human and Artifcial Moral Intelligence

Case Studies of AI Applications in Clinical Neuroscience

Harnessing Large-Scale Data for Precision Medicine

4 IMPACT OF AI IN MEDICAL AND CLINICAL ENVIRONMENTS

Bidirectional Relationship Between AI and Medicine

Case Studies of AI in the Clinic

Considerations for AI-Driven Health Care

Establishing Best Practices for AI in Health Care

5 COMMUNICATION AND ENGAGEMENT WITH THE PUBLIC AND INDIVIDUALS WITH LIVED OR LIVING CNS DISORDER EXPERIENCE

AI Approaches to User-Centered Neurotechnology

Case Study: Patient-Centered AI for Parkinson’s Disease Generated by AI.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

0-309-71893-7

OCLC:

1492967830