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移动端AI与ML应用开发:基于iOS和Android
book

移动端AI与ML应用开发:基于iOS和Android

by Laurence Moroney
January 2023
Intermediate to advanced
288 pages
6h 6m
Chinese
China Machine Press
Content preview from 移动端AI与ML应用开发:基于iOS和Android
272
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15
避免制造或强化不公平的偏见
正如本章所讨论的,偏见很容易渗透到任何系统中。人工智能
尤其是在它改变
行业的情况下
提供了消除现有偏见的机会,并确保不会出现新的偏见。人们应
该注意这一点。
为安全而建造和测试
Google 继续开发强大的安全和安保措施,以避免人工智能造成意外伤害。这包括在
受限环境中开发人工智能技术,并在部署后持续监控其操作。
对人负责
目标是构建受适当人类指导和控制的人工智能系统。这意味着必须始终提供适当的反
馈、上诉和相关解释的机会。实现这一目标的工具将是生态系统的重要组成部分。
纳入隐私设计原则
人工智能系统必须包含保护措施,以确保足够的隐私并告知用户将如何使用他们的
数据。通知和同意的机会应该是显而易见的。
坚持科学卓越的高标准
当技术创新以科学的严谨性和对开放式调查与合作的承诺被完成时,它才能达到最
佳状态。如果人工智能要帮助解锁关键科学领域的知识,它应该追求这些领域所期
望的科学卓越的高标准。
可用于符合这些原则的用途
虽然这一点可能看起来有点笼统,但重要的是要强调这些原则不是孤立的,也不是
仅适用于构建系统的人。它们还旨在为如何使用你构建的系统提供指导。注意有人
可能会以你不希望的方式使用你的系统是件好事,因此为你的用户制定一套原则也
是件好事!
15.3
总结
这里是你成为移动和网络 AI ML 工程师旅程的终点,但你构建可以改变世界的解决
方案的真正旅程可能才刚刚开始。我希望本书对你有用,虽然我们没有深入探讨任何特
定的主题,但我们能够封装和简化连接机器学习和移动开发世界的一些复杂性。 ...
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Publisher Resources

ISBN: 9787111713081