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UNIT-1
REVISITING AI PROJECT CYCLE &
ETHICAL FRAMEWORKS FOR AI
Al is the top trending technology of this digital era. Most of the companies use Al to accomplish their mundane
tasks and achieve their company's long-term goals. As we know that AI enables us to make smart machines that
can do things humans find hard to do, such as analysing large amounts of data quickly, recognising speech,
translating languages, or even driving cars. The process of developing AI-enabled machines has different stages
that are collectively known as the Al project cycle.
Introducing AI Project Cycle
Suppose you are preparing a cake for a friend's birthday. Here is a possible step-by-step breakdown of the process:
• Find a recipe: Start by searching for cake recipes that match the flavour your friend likes. You might check
cookbooks, online videos, or ask someone who knows how to bake.
• List ingredients: After choosing a recipe, make a list of all the ingredients and tools needed, like flour, sugar,
eggs, a mixing bowl, etc.
• Check your pantry: See if you already have the required ingredients and tools. If anything is missing, go out
and buy it.
• Bake the cake: Follow the recipe step by step, mixing, baking and everything as instructed.
• Fix any mistakes: If the cake doesn’t turn out right—for example, if it’s undercooked or uneven—you might
have to start over and fix the problem.
• Decorate and present: Once the cake is ready, decorate it beautifully and present it to your friend as a heartfelt
birthday surprise.
Problem
This process is structured, like a project, to ensure your cake Scoping
turns out perfect and brings joy to your friend on his/her
special day!
Data
Deployment
For all kinds of tasks, we usually follow a plan knowingly or Acquisition
unknowingly. The steps taken to complete a task from the
beginning to its end are called Project Cycle. These steps
help us complete the task effectively.
Similarly, if we have to develop an AI project, we need to Evaluation Data
Exploration
follow the AI project cycle that provides us with an appropriate
framework to lead us towards our goal. The AI project cycle
is a roadmap to plan, develop and deploy AI solutions. The Modelling
AI project cycle provides us with a framework for planning,
organising, executing and implementing an AI project to accomplish a task. It is a structured approach to move
from the conception of an AI idea to its practical implementation and sustained operation.
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