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

  1. The interpretability of the model was crucial for the researchers to present their findings.
  2. Ensuring high interpretability can help build trust with users.
  3. The team prioritized interpretability over accuracy in their final decision.
  4. There is often a trade-off between accuracy and interpretability in machine learning models.
  5. The architecture of the neural network affects its interpretability.
  6. Many practitioners seek tools that enhance the interpretability of their algorithms.
  7. The paper discussed methods to improve the interpretability of deep learning models.
  8. A lack of interpretability can lead to ethical concerns in AI applications.
  9. The interpretability of complex models remains a hot topic in the field.
  10. Developers are working on frameworks to boost the interpretability of AI systems.
  11. High interpretability helps stakeholders understand the decision-making process.
  12. The interpretability of results is essential for regulatory compliance.
  13. The company’s CEO emphasized the importance of interpretability in their AI strategy.
  14. Users often prefer models that balance performance with interpretability.
  15. The interpretability of the algorithm was tested with various datasets.
  16. Visualizations can greatly enhance the interpretability of complex models.
  17. Researchers are exploring new metrics for assessing interpretability.
  18. In finance, model interpretability can impact investment decisions.
  19. The interpretability of predictions can influence user adoption.
  20. The new guidelines focus on improving interpretability in healthcare AI.
  21. The conference featured talks on enhancing interpretability in machine learning.
  22. The team used SHAP values to improve model interpretability.
  23. A model with low interpretability can lead to mistrust among users.
  24. The push for interpretability in AI is growing stronger in various industries.
  25. Interpretability is key to understanding the implications of AI decisions.
  26. Developers need to consider interpretability during the design phase.
  27. The interpretability of AI systems is essential for informed decision-making.
  28. The model's interpretability was enhanced by using simpler algorithms.
  29. The research highlighted the relationship between interpretability and user satisfaction.
  30. Interpretability can sometimes be sacrificed for more complex models.
  31. In the legal field, model interpretability is necessary for accountability.
  32. The interpretability of an AI system can affect public perception.
  33. The tool aims to increase the interpretability of machine learning outputs.
  34. The findings emphasized the importance of interpretability in algorithmic fairness.
  35. The lack of interpretability hindered the deployment of the AI solution.
  36. The software update improved the interpretability of user interactions.
  37. The team achieved a breakthrough in the interpretability of their model.
  38. Stakeholders demanded greater interpretability in the project’s outcomes.
  39. The interpretability of the algorithm was assessed through user studies.
  40. The initiative focuses on enhancing interpretability in automated systems.
  41. The model's interpretability was a key factor in its selection.
  42. Enhanced interpretability can lead to better regulatory compliance.
  43. The interpretability of AI predictions is vital for critical applications.
  44. The research explored various techniques to boost interpretability.
  45. The interpretability of decisions made by AI was questioned in the report.
  46. Users require a certain level of interpretability to trust AI systems.
  47. The interpretability of algorithms influences their acceptance in society.
  48. The workshop aimed to address challenges in model interpretability.
  49. The interpretability of the findings contributed to the study's credibility.
  50. The team implemented features to improve model interpretability.
  51. The report recommends strategies for increasing interpretability.
  52. The interpretability of the findings was scrutinized by experts.
  53. The use of simpler models can enhance interpretability significantly.
  54. The interpretability of machine learning outcomes is crucial for users.
  55. The researchers are focused on the interpretability of their algorithms.
  56. The project aims to provide greater interpretability in AI systems.
  57. The interpretability of the system was a major selling point.
  58. Users appreciated the increased interpretability in the new version.
  59. The interpretability of the data influenced the research conclusions.
  60. The debate about interpretability continues among AI practitioners.
  61. The findings raised questions about the interpretability of AI decisions.
  62. Developers are working on improving the interpretability of their models.
  63. The interpretability of complex models can be challenging to achieve.
  64. The project highlighted the need for better interpretability in systems.
  65. The interpretability of the AI tool was a key factor in its adoption.
  66. Users often struggle with the interpretability of advanced algorithms.
  67. The push for interpretability is driven by ethical considerations.
  68. The interpretability of AI models can lead to better insights.
  69. The conference featured sessions on enhancing model interpretability.
  70. The interpretability of the findings was crucial for the report's impact.
  71. The team conducted experiments to assess interpretability levels.
  72. The lack of interpretability can deter potential users.
  73. The guidelines stress the importance of interpretability in development.
  74. The interpretability of results can affect policy decisions.
  75. The workshop discussed best practices for improving interpretability.
  76. The interpretability of AI systems is an emerging field of study.
  77. The new algorithm was praised for its high interpretability.
  78. The interpretability of a model can determine its usability.
  79. The team focused on enhancing the interpretability of their findings.
  80. The interpretability of outcomes is essential for stakeholder engagement.
  81. The report outlined strategies to improve interpretability in practice.
  82. The interpretability of decisions is vital for accountability in AI.
  83. The researchers aimed to balance performance and interpretability.
  84. The interpretability of the model was enhanced through visualization techniques.
  85. The need for interpretability is more pressing in sensitive applications.
  86. The interpretability of the results was validated through peer review.
  87. The initiative seeks to promote interpretability across different fields.
  88. The interpretability of machine learning models is a growing concern.
  89. The team presented their findings on interpretability at the conference.
  90. The software's success hinged on its interpretability.
  91. The interpretability of predictions is critical for user acceptance.
  92. The emphasis on interpretability has led to new research directions.
  93. The interpretability of the algorithm was a major focus of the study.
  94. The results highlighted the importance of interpretability in AI ethics.
  95. The interpretability of complex models can be improved with the right tools.
  96. The project aims to establish benchmarks for model interpretability.
  97. The interpretability of AI systems is crucial for informed decision-making.
  98. The researchers are exploring innovative ways to enhance interpretability.
  99. The interpretability of algorithms can influence their deployment in industry.
  100. The team is committed to improving the interpretability of their AI solutions.