Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Drug Control Governance: Regulatory Bodies and Their Impact01:03

Drug Control Governance: Regulatory Bodies and Their Impact

240
Drug control governance involves the oversight and regulation of pharmaceuticals to ensure their safety and efficacy while preventing illegal drug use and trafficking. Regulatory bodies, including the US Food and Drug Administration (FDA) and the European Union's European Medicines Agency (EMA), play a central role in this process. These agencies evaluate the safety and efficacy of drugs before they can be marketed. They fund clinical trials and assess the benefits and risks associated with...
240
Global Regulatory Systems01:28

Global Regulatory Systems

71
Global regulatory systems in bacteria enable rapid and coordinated responses to environmental changes by integrating sensory inputs with gene expression, ensuring efficient adaptation to fluctuating conditions. Key global regulatory mechanisms include regulons, two-component systems, sigma factors, and secondary messengers.Regulons and Global RegulatorsA regulon is a collection of genes and operons controlled by a common global regulator. These regulators enable bacteria to prioritize resource...
71
Ethical Issues01:27

Ethical Issues

1.2K
Nurses are essential in patient care, upholding the ethical principles of their profession and effectively navigating ethical dilemmas. Neglecting ethical issues can lead to inadequate patient care, compromised therapeutic relationships, and moral distress among healthcare workers.
Ethical Concerns in Healthcare:
1.2K
Actuarial Approach01:20

Actuarial Approach

132
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
132
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.8K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.8K
Experimental RNAi02:15

Experimental RNAi

6.2K
RNA interference (RNAi) is a cellular mechanism that inhibits gene expression by suppressing its transcription or activating the RNA degradation process. The mechanism was discovered by Andrew Fire and Craig Mello in 1998 in plants. Today, it is observed in almost all eukaryotes, including protozoa, flies, nematodes, insects, parasites, and mammals. This precise cellular mechanism of gene silencing has been developed into a technique that provides an efficient way to identify and determine the...
6.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Conceptual Mediation in Technomoral Change: Reply to Danaher and Sætra.

Ethical theory and moral practice : an international forum·2026
Same author

Conceptualising conceptual resilience. A comparative approach.

Philosophy & technology·2026
Same author

Fluid identities, rigid algorithms? Towards inclusive digital twin technology.

Journal of medical ethics·2025
Same author

Should governments moralize health?

Annals of the New York Academy of Sciences·2025
Same author

Vertical Technologies and Relational Values: Rethinking Ethics of Technology in an Age of Extractivism.

Philosophy & technology·2025
Same author

On the Limits of the Data Economy: The Case of Autonomous Vehicles.

Science and engineering ethics·2025
Same journal

Not Another Grocery List: Proposals for an Effective AI Ethics Implementation.

Science and engineering ethics·2026
Same journal

From Biopiracy to Sustainable Knowledge Governance: Epistemic Justice and the Reconstruction of Resource Sovereignty in the Global South.

Science and engineering ethics·2026
Same journal

Deliberative Lab Communication and the Practice of Ethical Science.

Science and engineering ethics·2026
Same journal

Graduate Students Find Content of Responsible Conduct of Research Coursework Useful.

Science and engineering ethics·2026
Same journal

Discursive Ethics as a Normative Foundation for Integrating Ethics into AI Clinical Decision Support Systems.

Science and engineering ethics·2026
Same journal

Tragedies of Technology: An Exploration of Such Narratives.

Science and engineering ethics·2026
See all related articles

Related Experiment Video

Updated: Sep 10, 2025

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

8.0K

A Social Disruptiveness-Based Approach to AI Governance: Complementing the Risk-Based Approach of the AI Act.

Samuela Marchiori1, Jeroen K G Hopster2, Anna Puzio3

  • 1Department of Values, Technology and Innovation, Delft University of Technology, Delft, The Netherlands. s.marchiori@tudelft.nl.

Science and Engineering Ethics
|August 27, 2025
PubMed
Summary
This summary is machine-generated.

Adequate AI governance needs more than risk assessment. A social disruptiveness-based approach, complementing the AI Act, addresses AI's broader societal and ethical impacts for better regulation.

Keywords:
AI actArtificial Intelligence (AI)GovernanceResponsible Research and Innovation (RRI)Social disruptionSocially disruptive technologies

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

570
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

227

Related Experiment Videos

Last Updated: Sep 10, 2025

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

8.0K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

570
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

227

Area of Science:

  • Socio-technical systems
  • AI governance
  • Legal regulation

Background:

  • The European Union's AI Act employs a risk-based approach to regulate AI systems.
  • Existing AI governance frameworks may not fully capture the broader socio-technical implications of AI.
  • Societal and ethical concerns arise from AI's disruptive potential beyond legal risk.

Purpose of the Study:

  • To propose a 'social disruptiveness-based' approach to AI governance.
  • To complement the AI Act's risk-based framework with a focus on societal impact.
  • To enhance the governance of AI and other socially disruptive technologies.

Main Methods:

  • Analysis of the AI Act's risk-based approach.
  • Conceptualization of a social disruptiveness-based governance framework.
  • Integration of legal, ethical, and human practice considerations.

Main Results:

  • A dual approach combining risk-based and social disruptiveness-based assessments offers a more nuanced understanding of AI's societal impact.
  • Social disruptiveness highlights impacts not easily addressed by legal regulation alone.
  • This integrated approach can improve the governance of AI systems.

Conclusions:

  • Effective AI governance requires addressing both legal risks and broader social disruptions.
  • Integrating a social disruptiveness lens enhances the comprehensiveness of AI regulation.
  • This framework supports adaptive governance in a dynamic socio-technical landscape.