ValueAlignmentModelDriftExplainabilityMachineLearningModelDriftExplainabilityFairnessAIGenerativeAILargeLanguageModelsUnsupervisedlearningWatsonXTrustworthyAIdeeplearningNLPLargeLanguageModelsMachineLearningFoundationModelsTrainingDataFoundationModelsWizard ofOzPrototypingGenerativeAISupervisedlearningdatacollectionsamplingHumanin theLoopWatsonXAIEthicsTrainingDatabiastransparentdatareinforcedlearningFairnessModelHallucinationValueAlignmentNeuralNetworkAIRobustnessSupervisedlearningWizard ofOzPrototypingdatacollectionsamplingAIEthicsRobustnessHumanin theLoopTrustworthyAIChatbotModelHallucinationUnsupervisedlearningbiastransparentdatareinforcedlearningChatbotNeuralNetworkValueAlignmentModelDriftExplainabilityMachineLearningModelDriftExplainabilityFairnessAIGenerativeAILargeLanguageModelsUnsupervisedlearningWatsonXTrustworthyAIdeeplearningNLPLargeLanguageModelsMachineLearningFoundationModelsTrainingDataFoundationModelsWizard ofOzPrototypingGenerativeAISupervisedlearningdatacollectionsamplingHumanin theLoopWatsonXAIEthicsTrainingDatabiastransparentdatareinforcedlearningFairnessModelHallucinationValueAlignmentNeuralNetworkAIRobustnessSupervisedlearningWizard ofOzPrototypingdatacollectionsamplingAIEthicsRobustnessHumanin theLoopTrustworthyAIChatbotModelHallucinationUnsupervisedlearningbiastransparentdatareinforcedlearningChatbotNeuralNetwork

Spark Design Fest Bingo 2023 - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Value Alignment
  2. Model Drift
  3. Explainability
  4. Machine Learning
  5. Model Drift
  6. Explainability
  7. Fairness
  8. AI
  9. Generative AI
  10. Large Language Models
  11. Unsupervised learning
  12. WatsonX
  13. Trustworthy AI
  14. deep learning
  15. NLP
  16. Large Language Models
  17. Machine Learning
  18. Foundation Models
  19. Training Data
  20. Foundation Models
  21. Wizard of Oz Prototyping
  22. Generative AI
  23. Supervised learning
  24. data collection sampling
  25. Human in the Loop
  26. WatsonX
  27. AI Ethics
  28. Training Data
  29. bias transparent data
  30. reinforced learning
  31. Fairness
  32. Model Hallucination
  33. Value Alignment
  34. Neural Network
  35. AI
  36. Robustness
  37. Supervised learning
  38. Wizard of Oz Prototyping
  39. data collection sampling
  40. AI Ethics
  41. Robustness
  42. Human in the Loop
  43. Trustworthy AI
  44. Chatbot
  45. Model Hallucination
  46. Unsupervised learning
  47. bias transparent data
  48. reinforced learning
  49. Chatbot
  50. Neural Network