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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

45
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
45
The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

7.2K
In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
7.2K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

33
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
33
Models, Theories, and Laws01:16

Models, Theories, and Laws

5.2K
Scientists frequently use models to help them comprehend a specific collection of phenomena. In physics, a model is a condensed version of a physical system that is too complex to study thoroughly. One such example is the light wave model; unlike water waves, light waves are typically invisible to us. Nonetheless, it is helpful to think of light as being composed of waves, since investigations show that light behaves like water waves. Since it is impossible to visually see what is genuinely...
5.2K
Improving Translational Accuracy02:07

Improving Translational Accuracy

2.5K
2.5K
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

772
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
772

You might also read

Related Articles

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

Sort by
Same journal

Retraction: Panem, corticoids and circenses: the ethical fallout of Enhanced Games.

Journal of medical ethics·2026
Same journal

Ethical analysis on time-limited trials in critical care.

Journal of medical ethics·2026
Same journal

Assisted dying and autonomy as an end in itself: a response to Donaldson.

Journal of medical ethics·2026
Same journal

Ethics briefing.

Journal of medical ethics·2026
Same journal

Medical ethics and categorisation.

Journal of medical ethics·2026
Same journal

Suspension or prioritisation? Exploring the ethics of age-based rationing in adult ADHD services.

Journal of medical ethics·2026

Related Experiment Video

Updated: Jun 13, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

519

Can large language models help solve the cost problem for the right to explanation?

Lauritz Munch1, Jens Christian Bjerring2

  • 1Philosophy and History of Ideas, Aarhus Universitet, Aarhus, Denmark lauritzmunch@gmail.com.

Journal of Medical Ethics
|September 12, 2024
PubMed
Summary

Automated decision systems create a cost problem for explanations. Large language models may offer solutions but introduce significant ethical concerns regarding explainability.

Keywords:
Decision MakingEthicsPolicy

More Related Videos

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

420
P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

520

Related Experiment Videos

Last Updated: Jun 13, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

519
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

420
P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

520

Area of Science:

  • Artificial Intelligence
  • Ethics in Technology
  • Decision Systems

Background:

  • A consensus exists on the moral right to explanations for automated decision systems.
  • Providing explanations for high-stakes automated decisions presents a significant cost challenge.
  • This challenge, termed the 'cost problem,' impacts organizations using these systems.

Purpose of the Study:

  • To investigate the potential of large language models (LLMs) in addressing the cost problem of automated decision explanations.
  • To evaluate the feasibility and ethical implications of using LLMs for generating decision explanations.

Main Methods:

  • Exploratory analysis of large language models' capabilities in generating explanations.
  • Conceptual examination of the ethical trade-offs involved.

Main Results:

  • Large language models show promise in potentially overcoming the cost problem associated with explanations.
  • The use of LLMs for this purpose may incur serious ethical costs.

Conclusions:

  • LLMs present a potential pathway to mitigate the financial burden of providing explanations for automated decisions.
  • The ethical implications, including fairness and transparency, require careful consideration and further research.