100 Examples of sentences containing the common noun "interpretability"
Definition
Interpretability refers to the degree to which a human can understand the cause of a decision made by a model, particularly in the context of machine learning and artificial intelligence. It encompasses how easily one can explain and comprehend the workings of algorithms or systems.
Synonyms
- Explainability
- Clarity
- Comprehensibility
- Transparency
- Understandability
Antonyms
- Obfuscation
- Confusion
- Complexity
- Ambiguity
- Incomprehensibility
Examples
- The interpretability of the model was crucial for the researchers to present their findings.
- Ensuring high interpretability can help build trust with users.
- The team prioritized interpretability over accuracy in their final decision.
- There is often a trade-off between accuracy and interpretability in machine learning models.
- The architecture of the neural network affects its interpretability.
- Many practitioners seek tools that enhance the interpretability of their algorithms.
- The paper discussed methods to improve the interpretability of deep learning models.
- A lack of interpretability can lead to ethical concerns in AI applications.
- The interpretability of complex models remains a hot topic in the field.
- Developers are working on frameworks to boost the interpretability of AI systems.
- High interpretability helps stakeholders understand the decision-making process.
- The interpretability of results is essential for regulatory compliance.
- The company’s CEO emphasized the importance of interpretability in their AI strategy.
- Users often prefer models that balance performance with interpretability.
- The interpretability of the algorithm was tested with various datasets.
- Visualizations can greatly enhance the interpretability of complex models.
- Researchers are exploring new metrics for assessing interpretability.
- In finance, model interpretability can impact investment decisions.
- The interpretability of predictions can influence user adoption.
- The new guidelines focus on improving interpretability in healthcare AI.
- The conference featured talks on enhancing interpretability in machine learning.
- The team used SHAP values to improve model interpretability.
- A model with low interpretability can lead to mistrust among users.
- The push for interpretability in AI is growing stronger in various industries.
- Interpretability is key to understanding the implications of AI decisions.
- Developers need to consider interpretability during the design phase.
- The interpretability of AI systems is essential for informed decision-making.
- The model's interpretability was enhanced by using simpler algorithms.
- The research highlighted the relationship between interpretability and user satisfaction.
- Interpretability can sometimes be sacrificed for more complex models.
- In the legal field, model interpretability is necessary for accountability.
- The interpretability of an AI system can affect public perception.
- The tool aims to increase the interpretability of machine learning outputs.
- The findings emphasized the importance of interpretability in algorithmic fairness.
- The lack of interpretability hindered the deployment of the AI solution.
- The software update improved the interpretability of user interactions.
- The team achieved a breakthrough in the interpretability of their model.
- Stakeholders demanded greater interpretability in the project’s outcomes.
- The interpretability of the algorithm was assessed through user studies.
- The initiative focuses on enhancing interpretability in automated systems.
- The model's interpretability was a key factor in its selection.
- Enhanced interpretability can lead to better regulatory compliance.
- The interpretability of AI predictions is vital for critical applications.
- The research explored various techniques to boost interpretability.
- The interpretability of decisions made by AI was questioned in the report.
- Users require a certain level of interpretability to trust AI systems.
- The interpretability of algorithms influences their acceptance in society.
- The workshop aimed to address challenges in model interpretability.
- The interpretability of the findings contributed to the study's credibility.
- The team implemented features to improve model interpretability.
- The report recommends strategies for increasing interpretability.
- The interpretability of the findings was scrutinized by experts.
- The use of simpler models can enhance interpretability significantly.
- The interpretability of machine learning outcomes is crucial for users.
- The researchers are focused on the interpretability of their algorithms.
- The project aims to provide greater interpretability in AI systems.
- The interpretability of the system was a major selling point.
- Users appreciated the increased interpretability in the new version.
- The interpretability of the data influenced the research conclusions.
- The debate about interpretability continues among AI practitioners.
- The findings raised questions about the interpretability of AI decisions.
- Developers are working on improving the interpretability of their models.
- The interpretability of complex models can be challenging to achieve.
- The project highlighted the need for better interpretability in systems.
- The interpretability of the AI tool was a key factor in its adoption.
- Users often struggle with the interpretability of advanced algorithms.
- The push for interpretability is driven by ethical considerations.
- The interpretability of AI models can lead to better insights.
- The conference featured sessions on enhancing model interpretability.
- The interpretability of the findings was crucial for the report's impact.
- The team conducted experiments to assess interpretability levels.
- The lack of interpretability can deter potential users.
- The guidelines stress the importance of interpretability in development.
- The interpretability of results can affect policy decisions.
- The workshop discussed best practices for improving interpretability.
- The interpretability of AI systems is an emerging field of study.
- The new algorithm was praised for its high interpretability.
- The interpretability of a model can determine its usability.
- The team focused on enhancing the interpretability of their findings.
- The interpretability of outcomes is essential for stakeholder engagement.
- The report outlined strategies to improve interpretability in practice.
- The interpretability of decisions is vital for accountability in AI.
- The researchers aimed to balance performance and interpretability.
- The interpretability of the model was enhanced through visualization techniques.
- The need for interpretability is more pressing in sensitive applications.
- The interpretability of the results was validated through peer review.
- The initiative seeks to promote interpretability across different fields.
- The interpretability of machine learning models is a growing concern.
- The team presented their findings on interpretability at the conference.
- The software's success hinged on its interpretability.
- The interpretability of predictions is critical for user acceptance.
- The emphasis on interpretability has led to new research directions.
- The interpretability of the algorithm was a major focus of the study.
- The results highlighted the importance of interpretability in AI ethics.
- The interpretability of complex models can be improved with the right tools.
- The project aims to establish benchmarks for model interpretability.
- The interpretability of AI systems is crucial for informed decision-making.
- The researchers are exploring innovative ways to enhance interpretability.
- The interpretability of algorithms can influence their deployment in industry.
- The team is committed to improving the interpretability of their AI solutions.