Reflections on Artificial Intelligence for Humanity
Reflections on Artificial Intelligence for Humanity
复制标题
对人工智能造福人类的思考
DOI：
10.1007/978-3-030-69128-8_2
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Chatila R
中科院分区：
文献类型：
--
作者：
Chatila R
现代人工智能系统已广泛应用于几乎所有行业，对我们的社会产生了巨大影响。然而，他们所依赖的方法，基于机器学习技术来处理数据以预测结果和做出决策，是不透明的，容易产生偏见，并可能产生错误的答案。在学习系统中优化的目标函数不能保证与激发其定义的值一致。透明度、可验证性、可解释性、安全性、技术稳健性和安全性等属性是构建运营治理框架的关键，以便使人工智能系统可靠可信，并使其开发和使用符合人权和价值观。
Modern AI systems have become of widespread use in almost all sectors with a strong impact on our society. However, the very methods on which they rely, based on Machine Learning techniques for processing data to predict outcomes and to make decisions, are opaque, prone to bias and may produce wrong answers. Objective functions optimized in learning systems are not guaranteed to align with the values that motivated their definition. Properties such as transparency, verifiability, explainability, security, technical robustness and safety, are key to build operational governance frameworks, so that to make AI systems justifiably trustworthy and to align their development and use with human rights and values.