Machine Learning Evaluation: Towards Reliable and Responsible AI

Price: $74.99 – $64.06
(as of Dec 15,2024 22:24:25 UTC – Details)

Publisher ‏ : ‎ Cambridge University Press; 2nd Revised ed. edition (November 21, 2024)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 426 pages
ISBN-10 ‏ : ‎ 1316518868
ISBN-13 ‏ : ‎ 978-1316518861
Item Weight ‏ : ‎ 1.93 pounds
Dimensions ‏ : ‎ 6.69 x 0.94 x 9.61 inches

Machine learning evaluation is a critical aspect of building reliable and responsible AI systems. As AI technologies become more integrated into various aspects of our lives, it is important to ensure that these systems are not only accurate and efficient but also ethical and fair.

One of the key challenges in evaluating machine learning models is ensuring that they perform well on a wide range of inputs and scenarios. This requires careful testing and validation to identify potential biases, errors, and limitations in the models. It also involves measuring the performance of the models against specific metrics and benchmarks to assess their overall effectiveness.

In addition to technical evaluation, it is also important to consider ethical and social implications of AI systems. This includes ensuring that models are not perpetuating biases or discrimination, and that they are transparent and explainable to users. It also involves considering the potential impact of AI systems on society, such as job displacement or privacy concerns.

Overall, the evaluation of machine learning models is a complex and multifaceted process that requires a combination of technical expertise, ethical considerations, and social awareness. By focusing on building reliable and responsible AI systems, we can ensure that AI technologies benefit society while minimizing potential risks and drawbacks.
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