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Introduction to Artificial Intelligence
- Format:
- Book
- Language:
- English
- Subjects (All):
- Social sciences.
- Physical Description:
- Online course: (2hr.)
- Place of Publication:
- London : SAGE Publishing 2022
- Summary:
- This course gives learners a full understanding of what artificial intelligence is and how it is used and applied in society and research methods. It explores the ethical issues surrounding artificial intelligence and the uses of machine learning. This course will help learners to: •Describe the origins and development of AI •Identify useful modern definitions of AI •Evaluate the pervasiveness of AI in our society •Discuss the importance of AI in research methods •Compare the various uses of and applicability of AI in research methods •Understand ethics and its relation to AI •Interpret the arguments for and against AI •Reflect on their stand about the potential ethical challenges of AI •Recognise what machine learning is and how it is used and compare the different machine learning methods •Evaluate the social challenges posed by machine learning MODULE ONE: MYTHS AND REALITIES OF ARTIFICIAL INTELLIGENCE 1. Defining AI. 2.What AI Can Do. 3.A Brief History of AI. 4.Everyday Applications of AI. 5.Checkpoint MODULE TWO: AI IN RESEARCH METHODS 1. The Relationship between AI and Research. 2.Data Mining. 3.Checkpoint MODULE THREE: ETHICAL CHALLENGES IN AI 1. Ethics and AI. 2.Unethical AI: Issues and Concerns. 3.Ethical Challenges in Data Science for AI. 4.Checkpoint MODULE FOUR: MACHINE LEARNING 1. What Is Machine Learning? 2.How Does Machine Learning Work? 3.What Are the Machine Learning Methods? 4.How Is Machine Learning Used? 5.What Are the Challenges of Machine Learning? 6.Checkpoint
- ISBN:
- 1-5297-9339-4
- OCLC:
- 1329421727
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