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UNIT-1
AI REFLECTION, PROJECT
CYCLE AND ETHICS
Learning Outcomes
• What is Intelligence? • Artificial Intelligence
• Types of AI • How do Machines Become Intelligent?
• AI Around Us • What is Not AI?
• World Famous AI Machines • Importance of AI
• AI in India • Human-Machine Interaction
• Domains of AI • Applications of AI in Real-Life
• Advantages of AI • Disadvantages of AI
• AI Project Cycle Framework • Problem Scoping and Setting Goals for an AI Project
• Identifying the Stakeholders • 4Ws Problem Canvas
• Problem Statement Template • Iterative Nature of Problem Scoping
• Ethical Issue Related to Problem Selection • Data Acquisition
• Data Exploration • What is Modelling?
• What is Evaluation? • What is Deployment?
• AI Project Cycle Mapping Template • AI Ethics
Since ancient times, humans have tried to be better than others and moved forward with the creation of tools
that aided them to stay ahead of every other living being. In an attempt to make life easier, humans tried to make
machines intelligent and smarter. These days we have machines that can think and respond in ways similar to
human being. This is how the concept of smart machines came into existence. In this chapter, we will explore how
that change happened and how we came so far.
What is Intelligence?
Intelligence is the ability to learn from experience, recognise problems and solve problems. According to
Sternberg—”Intelligence is the capacity to learn from experience, using metacognitive processes to enhance
learning, and the ability to adapt to the surrounding environment.”
Intelligence is the capacity to learn and behave adaptively. It can be defined as a person’s ability to think and to
learn. For example, students are considered intelligent if they understand the subject content and are able to score
above-average grades.
AI Reflection, Project Cycle and Ethics 169

