This comprehensive analysis dives deep into the intricate interplay between artificial intelligence (AI) and human agency, examining the remarkable capabilities and inherent limitations of large language models (LLMs) such as GPT-3 and ChatGPT. The paper traces the complex trajectory of AI's evolution, highlighting its operation based on statistical pattern recognition, devoid of self-consciousness or innate comprehension. As AI permeates multiple spheres of human life, it raises substantial ethical, legal, and societal concerns that demand immediate attention and deliberation. The metaphorical illustration (...) of humans as “shepherds” of AI, coupled with a thought-provoking examination of “agency without intelligence,” engenders deep reflections on the future of human-AI interplay and the associated philosophical, ethical, and practical ramifications. The paper further elucidates critical challenges associated with AI, such as ethical dilemmas, “agency without intelligence,” the role of human oversight, and the environmental impact of AI technologies. In the pursuit of solutions, the paper maps prospective directions, emphasizing the need for robust AI policies, improved AI literacy, sustainable AI practices, and a continued dialogue on the multifaceted issues surrounding AI. Through a holistic exploration of AI, this paper underlines the necessity for a multidisciplinary, collaborative approach to chart an ethical, beneficial, and sustainable AI future, enabling society to harness the potential of AI responsibly while mitigating the associated risks. (shrink)

We are developing the Neurological Disease Ontology (ND) to provide a framework to enable representation of aspects of neurological diseases that are relevant to their treatment and study. ND is a representational tool that addresses the need for unambiguous annotation, storage, and retrieval of data associated with the treatment and study of neurological diseases. ND is being developed in compliance with the Open Biomedical Ontology Foundry principles and builds upon the paradigm established by the Ontology for General Medical Science (OGMS) (...) for the representation of entities in the domain of disease and medical practice. Initial applications of ND will include the annotation and analysis of large data sets and patient records for Alzheimer’s disease, multiple sclerosis, and stroke. (shrink)

This article describes the pilot project Shadows & Light Within: Untold Stories—a two-phase, multi-partner community-based project that explores the hypothesis that Autobiographical Therapeutic Performance can help traumatized individuals to improve executive functioning. A group of 10 individuals ranging in age from 32 to 69, with lived experiences at the intersection of trauma, mental health, and the court system, were paired with theater mentor-coaches for a 10-month creative group process, in which they shaped their stories into autobiographical performance pieces, through movement, (...) improvisation, story-telling, and self-discovery. In the second phase of the project, their stories were merged into a theater production, weaving movement, song, and voice, and performed by an ensemble of experienced actors from the community. Pre- and post-interviews and self-report standardized measures of executive functioning were used to assist in establishing criteria and direction for future research. The results suggest that the individuals involved in this pilot may have improved executive functioning and acquired more ability to engage in human service programs designed to increase job readiness and enhance adaptive living skills. (shrink)