Home → Magazine Archive → June 2023 (Vol. 66, No. 6)
Table of Contents
PDFPage 5
Pages 6-7
Pages 8-10
Can Generative AI Bots Be Trusted?
It will be a long road to learning how to use generative AI wisely.
Pages 24-27Computer-Related Risks and Remediation Challenges
Surveying the nontechnical issues interwoven with computer-related technologies.
Pages 28-30Is there ever a time when learning is not of value—for its own sake?
Pages 31-32Conjoined Twins: Artificial Intelligence and the Invention of Computer Science
How artificial intelligence and computer science grew up together.
Pages 33-37Pages 38-41
Trust Is Not Enough: Accuracy, Error, Randomness, and Accountability in an Algorithmic Society
Pages 42-44Decentraland: The Alleged Decentralization of Blockchain Applications
Pages 45-47The case for in-memory inferencing of quantized CNNs at the edge.
Pages 48-55Early insights and opportunities of AI-powered pair-programming tools.
Pages 56-62Pages 64-72
Buffer-Bloated Router? How to Prevent It and Improve Performance
Pages 73-77Should Robots Have Rights or Rites?
A Confucian cross-cultural exploration of the ethical treatment of robots.
Pages 78-85On the Implicit Bias in Deep-Learning Algorithms
Examining the implicit bias in training neural networks using gradient-based methods.
Pages 86-93Page 96
Technical Perspective: What Does Provable Security Mean for Cryptographic Schemes?
Page 106Pages 120-ff