Acceptable Use Policies for Foundation Models DOI

Kevin Klyman

Published: Nov. 26, 2024

Policymakers hoping to regulate foundation models have focused on preventing specific objectionable uses of AI systems, such as the creation bioweapons, deepfakes, and child sexual abuse material. Effectively blocking these can be difficult in case they are general-purpose technologies that principle used generate any type content. Nevertheless, model developers been proactive this area, adopting broad acceptable use policies prohibit many dangerous select themselves part their terms service or licenses. As 2023 Foundation Model Transparency Index, researchers at Stanford Center for Research Models catalogued 10 leading developers. All companies publicly disclose permitted, restricted, prohibited models, but there is little additional information available about how implemented. Only 3 enforce policy, while only 2 give justification users when policy. We provide background a preliminary analysis 30 developers’ policies, discussion policy considerations related attempts restrict models.

Language: Английский

Antibody Immunotherapies for Personalized Opioid Addiction Treatment DOI
Eric H. Rosenn,

Miriam Korlansky,

Shahin Benyaminpour

et al.

Journal of Pharmacology and Experimental Therapeutics, Journal Year: 2025, Volume and Issue: 392(4), P. 103522 - 103522

Published: Feb. 25, 2025

Approved therapies for managing opioid addiction involve intensive treatment regimens which remain both costly and ineffective. As pharmaceutical interventions have achieved variable success treating substance use disorders (SUD), alternative therapeutics must be considered. Antidrug antibodies induced by vaccination or introduced as monoclonal antibody formulations can neutralize destroy opioids in circulation before they reach their central nervous system targets act enzymes to deactivate receptors, preventing the physiologic psychoactive effects of substance. A lack "reward" those suffering from SUD has been shown result cessation promote long-term abstinence. Decreased production costs advent novel gene that stimulate vivo renewed interest this strategy. Furthermore, advances understanding immunopathogenesis revealed distinct mechanisms neuroimmune dysregulation underlying disorder. Beyond assisting with drug use, could treat reverse pathophysiologic hallmarks contribute cause chronic cognitive defects resulting use. In review, we synthesize key current literature regarding efficacy immunotherapies SUD. We will explore neuropharmacology these treatments relating evidence studies on counteract various behaviors drawing parallels similar immunopathology observed neurodegenerative disorders. Finally, discuss implications immunization technologies application computational methods developing personalized treatments. SIGNIFICANCE STATEMENT: Significant new contributing our recently emerged leading a paradigm shift concerning role immunology neuropathogenesis Concurrently, immunotherapeutic such advanced capabilities applications take advantage principles. This article reviews antibody-based being studied highlights directions further research may management

Language: Английский

Citations

0
Transference and the psychological interplay in AI-enhanced mental healthcare DOI Creative Commons
Akhil P. Joseph, Anithamol Babu

Frontiers in Psychiatry, Journal Year: 2024, Volume and Issue: 15

Published: Aug. 19, 2024

Citation: Joseph AP and Babu A (2024) Transference the psychological interplay in AI-enhanced mental healthcare. Front. Psychiatry 15:1460469. doi: 10.3389/fpsyt.2024.1460469

Language: Английский

Citations

2
Acceptable Use Policies for Foundation Models DOI

Kevin Klyman

Published: Nov. 26, 2024

Policymakers hoping to regulate foundation models have focused on preventing specific objectionable uses of AI systems, such as the creation bioweapons, deepfakes, and child sexual abuse material. Effectively blocking these can be difficult in case they are general-purpose technologies that principle used generate any type content. Nevertheless, model developers been proactive this area, adopting broad acceptable use policies prohibit many dangerous select themselves part their terms service or licenses. As 2023 Foundation Model Transparency Index, researchers at Stanford Center for Research Models catalogued 10 leading developers. All companies publicly disclose permitted, restricted, prohibited models, but there is little additional information available about how implemented. Only 3 enforce policy, while only 2 give justification users when policy. We provide background a preliminary analysis 30 developers’ policies, discussion policy considerations related attempts restrict models.

Language: Английский

Citations

0