There are many areas of expertise within the field of artificial intelligence (A.I.), including:
Machine learning: This involves the development of algorithms and models that allow computers to improve their performance on a particular task through experience. The average Machine Learning Engineer salary in the United States is $121,245 as of December 27, 2022
Natural language processing: This involves the development of algorithms and models that enable computers to understand and generate human-like language. As of Dec 27, 2022, the average annual pay for a Natural Language Processing in the United States is $124,919 a year.
Computer vision: This involves the development of algorithms and models that enable computers to understand and interpret visual data, such as images and videos. As of Dec 27, 2022, the average annual pay for a Computer Vision Engineer in the United States is $128,116 a year.
Robotics: This involves the design and development of robots that can perform a variety of tasks, either autonomously or under human control. As of Dec 27, 2022, the average annual pay for a Computer Vision Engineer in the United States is $128,116 a year.
A.I. ethics: This involves the study of the ethical implications of A.I. and the development of guidelines and best practices for the responsible development and use of A.I. A key responsibility of an AI ethicist or champion would be to improve the engineering approach to AI by adding ethical, social, and political perspectives to the design, development, and deployment of AI systems.
A.I. and society: This involves the study of the social and economic impacts of A.I. and the development of strategies for addressing them.
A.I. and policy: This involves the study of the policy implications of A.I. and the development of policies to govern the development and use of A.I.
These are just a few examples of the many areas of expertise within the field of A.I. There are many other subfields and specialized areas of study as well.
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