Evaluating AI Models with the ETHICS Dataset for Ethical Alignment
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@courseproject{dimauromonti2324-ethicsofai20232024,
abstract = {This project explores the application of the ETHICS dataset to assess AI systems’ alignment with shared human values. The dataset cov- ers a broad spectrum of ethical scenarios, including justice, well-being, and commonsense morality. The primary objective is to investigate the impact of various pre-processing techniques on enhancing the per- formance of existing models, as well as to fine-tune Transformer-based models specifically for this dataset. Additionally, pre-trained models will be tested via APIs to compare their effectiveness against custom- tuned models. The findings aim to offer valuable insights into both the limitations and potential advancements of AI models in ethical decision-making tasks.},
apice = {DimauroMonti2324},
author = {Gianluca Di Mauro and Leonardo Monti},
howpublished = {Ethics of AI, A.Y. 2023/2024},
sort = {classic},
supervisor = {Calegari, Roberta},
title = {Evaluating AI Models with the ETHICS Dataset for Ethical Alignment},
type = {Standard Project},
url = {https://dvcs.apice.unibo.it/pika-lab/courses/ai-ethics/projects/dimauromonti2324}
}
abstract = {This project explores the application of the ETHICS dataset to assess AI systems’ alignment with shared human values. The dataset cov- ers a broad spectrum of ethical scenarios, including justice, well-being, and commonsense morality. The primary objective is to investigate the impact of various pre-processing techniques on enhancing the per- formance of existing models, as well as to fine-tune Transformer-based models specifically for this dataset. Additionally, pre-trained models will be tested via APIs to compare their effectiveness against custom- tuned models. The findings aim to offer valuable insights into both the limitations and potential advancements of AI models in ethical decision-making tasks.},
apice = {DimauroMonti2324},
author = {Gianluca Di Mauro and Leonardo Monti},
howpublished = {Ethics of AI, A.Y. 2023/2024},
sort = {classic},
supervisor = {Calegari, Roberta},
title = {Evaluating AI Models with the ETHICS Dataset for Ethical Alignment},
type = {Standard Project},
url = {https://dvcs.apice.unibo.it/pika-lab/courses/ai-ethics/projects/dimauromonti2324}
}