The Limitations of Data, Machine Learning and Us

Author:

Baeza-Yates Ricardo1ORCID

Affiliation:

1. Institute for Experiential AI, Northeastern University & Dept. of Computing Sciences, Universidad de Chile, San Jose, California, USA

Funder

National Science Foundation

Publisher

ACM

Reference26 articles.

1. Blaise Agüera y Arcas, Margaret Mitchell, and Alexander Todorov. 2023. Physiognomy in the Age of AI. In Feminist AI: Critical Perspectives on Algorithms, Data, and Intelligent Machines. Oxford University Press, 208.

2. Incremental Sampling of Query Logs

3. Bias on the web

4. Ricardo Baeza-Yates. 2018b. BIG small or Right Data: Which is the proper focus. https://www.kdnuggets.com/2018/10/big-small-right-data.html

5. LECTURE HELD AT THE ACADEMIA EUROPAEA BUILDING BRIDGES CONFERENCE 2022

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On Building an End-To-End Prototype System for Harvesting Performance Characteristics of Code Snippets;International Conference on Information Systems Development;2024-09-09

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