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   Biases in AI systems
Srinivasan R., Chander A. Communications of the ACM 64(8): 44-49, 2021.  Type: Article

As Srinivasan and Chander discuss, software packages and algorithms encounter many biases related to images on the web. This is then an article on computer application control, not human user control. Machine learning (ML) and artificial intellige...

1  
  New computer evaluation metrics for a changing world
Vahdat A., Ma X., Patterson D. Communications of the ACM 67(10): 31-33, 2024.  Type: Article

The sheer number of artificial intelligence (AI) applications and increasing demand for cloud computing technologies require effective plans for coping with requests related to computing resources. But how should managers of humongous data centers...

2  
  Towards combining commonsense reasoning and knowledge acquisition to guide deep learning
Sridharan M., Mota T. Autonomous Agents and Multi-Agent Systems 37(1): 2023.  Type: Article

In artificial intelligence (AI), commonsense reasoning refers to the ability to make assumptions about the characteristics and nature of everyday situations, similar to how humans perceive and interpret them. For example, it involves evaluating ph...

3  
   Explainability is not a game
Marques-Silva J., Huang X. Communications of the ACM 67(7): 66-75, 2024.  Type: Article

The increasing application of artificial intelligence (AI) in real-life decisions--from birth to death, from economic survival to irrecoverable debts by nations, from peace to war times and military manpower mobilization [1]--requires hi...

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  AI should challenge, not obey
Sarkar A. Communications of the ACM 67(10): 18-21, 2024.  Type: Article

As artificial intelligence (AI) continues to revolutionize how we learn and work, Sarkar questions whether the way we are leveraging AI as an assistant that efficiently completes tasks is the right one. In this article, Sarkar argues for AI’...

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  Mapping the ethics of generative AI: a comprehensive scoping review
Hagendorff T. Minds and Machines 34(4): 39-39, 2024.  Type: Article

The advent of generative artificial intelligence (GenAI) has seen much debate in academic and professional circles of late, as well as significant hype in public media and heated discussion on social media. Much of this attention has been negative...

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  The science of detecting LLM-generated text
Tang R., Chuang Y., Hu X. Communications of the ACM 67(4): 50-59, 2024.  Type: Article, Reviews: (2 of 2)

While artificial intelligence (AI) applications for natural language processing (NLP) are no longer something new or unexpected, nobody can deny the revolution and hype that started, in late 2022, with the announcement of the first public version ...

7  
  Using artificial intelligence: absolute beginner’s guide
Miller M., Pearson, Hoboken, NJ, 2024. 336 pp.  Type: Book (9780135356050)

This book introduces artificial intelligence (AI) in a simple and practical way, making it perfect for readers with no prior experience. Michael Miller explains key AI concepts like machine learning, natural language processing (NLP), and computer...

8  
  Weighted synchronous automata
Gomes L., Madeira A., Barbosa L. Mathematical Structures in Computer Science 321234-1253, 2022.  Type: Article

The theory of finite automata (FA) is extensively studied, while Zadeh’s sets and fuzzy logic address real-world scenarios. This paper formalizes fuzzy automata’s behavior in dealing with uncertainty and vagueness inherent to computati...

9  
  Critical systems thinking and the management of complexity
Jackson M., WILEY, Hoboken, NJ , 2019. 736 pp.  Type: Book (9781119118398)

This is the first of two books by Dr. Jackson about critical systems thinking (CST). I discussed the other, Critical systems thinking: a practitioner’s guide, in a previous review [1]. That book was essentially a Reader’s Dig...

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