Machine Learning Safety (Artificial Intelligence: Foundations, Theory, and Algorithms)

Price: $9.48
(as of Dec 24,2024 05:51:38 UTC – Details)

ASIN ‏ : ‎ B0BSRRLX5H
Publisher ‏ : ‎ Springer (April 28, 2023)
Publication date ‏ : ‎ April 28, 2023
Language ‏ : ‎ English
File size ‏ : ‎ 55308 KB
Text-to-Speech ‏ : ‎ Enabled
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 432 pages

Machine Learning Safety: Ensuring the Ethical and Responsible Use of Artificial Intelligence

Machine learning and artificial intelligence have the potential to revolutionize various industries and improve countless aspects of our lives. However, with great power comes great responsibility. It is crucial to ensure the safety and ethical use of these technologies to prevent potential harm and negative consequences.

In the book “Artificial Intelligence: Foundations, Theory, and Algorithms,” experts delve into the importance of machine learning safety and provide insights into the key principles and practices that should be followed to promote responsible AI development. From data privacy and security to fairness and transparency, the authors discuss the various aspects of AI safety that must be carefully considered.

One of the key challenges in ensuring machine learning safety is the potential for bias and discrimination in AI algorithms. Biased data sets can lead to unfair outcomes and perpetuate existing inequalities in society. It is essential for developers and researchers to be aware of these issues and take proactive steps to mitigate bias in their models.

Additionally, transparency and accountability are crucial aspects of machine learning safety. Users should have a clear understanding of how AI systems make decisions and be able to hold developers accountable for any errors or biases that may arise. By promoting transparency and open communication, we can build trust in AI technologies and ensure their responsible use.

In conclusion, machine learning safety is a complex and multifaceted issue that requires careful consideration and proactive measures. By following ethical guidelines and implementing best practices, we can harness the transformative power of artificial intelligence while minimizing potential risks and ensuring a more equitable and inclusive future.
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