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Session: Evaluation
                                                                    Learners will understand about new terms
                                                                    ● True Positive
                                      Understand various evaluation techniques.
                                                                    ● False Positive
                                                                    ● True Negative
                                                                    ● False Negative
                                      Challenge students to think about how they  Session: Deployment
                                      can  apply  their  knowledge  of  deployment   Recommended Case Study: Preventable Blindness.
                                      in  future  AI  projects and  encourage  them
                                      to continue exploring different deployment  Activity: Implementation of AI project cycle to develop an AI Model for Personalized
                                      methods.                      Education.

                                                                    Session: Ethics
                                                                    Video Session: Discussing about AI Ethics
                                                                    Recommended Activity: Ethics Awareness
                                      To  understand  and  reflect  on  the  ethical
                                      issues around AI.             ●  Students play the role of major stakeholders, and they have to decide what is
                                                                     ethical and what is not for a given scenario.
                                                                    ●  Students  to  explore  Moral  Machine  (https://www.moralmachine.net/ )  to
                                                                     understand more about the impact of ethical concerns
                                                                    Session: AI Bias and AI Access
                                      To  gain  awareness  around  AI  bias  and  AI   ● Discussing about the possible bias in data collection
                                      access.
                                                                    ● Discussing about the implications of AI technology

                                                                    Recommended Activity: Balloon Debate
                                                                    ●  Students divide in teams of 3 and 2 teams are given same theme. One team goes
                                      To let the students analyse the advantages   in affirmation to AI for their section while the other one goes against it.
                                      and disadvantages of Artificial Intelligence.
                                                                    ●  They have to come up with their points as to why AI is beneficial/ harmful for
                                                                     the society


                                                                    Session: Basics of data literacy
                                      ●  Define  data  literacy  and  recognize  its
                                       importance Understand how data literacy   ● Introduction to Data Literacy
                                       enables  informed  decision-making  and  ● Impact of Data Literacy
                                       critical thinking
                                      ●  Apply   the   Data   Literacy   Process   ● How to become Data Literate?
                                       Framework to analyze and interpret data  ● What are data security and privacy? How are they related to AI?
                         Basics of Data   effectively
                           Literacy   ●  Differentiate  between  Data  Privacy  and   ● Best Practices for Cyber Security
                                       Security
                                      ●  Identify  potential  risks  associated  with   Recommended Activity: Impact of News Articles
                                       data breaches and unauthorized access.  Reference Videos:
                     DATA LITERACY    ●  Determine  the  best  methods  to  acquire   ● https://www.youtube.com/watch?v=aO858HyFbKI
                                      ●  Learn  measures  to  protect  data  privacy
                                                                    ● https://www.youtube.com/watch?v=yhO_t-c3yJY
                                       and enhance data security
                                                                    ● https://www.cbse.gov.in/cbsenew/documents/Cyber%20Safety.pdf
                                                                    Session: Acquiring Data, Processing, and Interpreting Data
                                                                    ● Types of data
                                       data.
                                      ●  Classify different types of data and enlist
                                                                    ● Best Practices for Acquiring Data
                                       different methodologies to acquire it.  ● Data Acquisition/Acquiring Data
                                      ●  Define and describe data interpretation.  ● Features of data and Data Preprocessing
                                                                    ● Data Processing and Data Interpretation
                        Acquiring Data,   ●  Enlist and explain the different methods   ● Types of Data Interpretation
                        Processing, and   of data interpretation.   ● Importance of Data Interpretation
                       Interpreting Data  ●  Recognize the types of data interpretation.
                                      ●  Realize the importance of data interpretation
                                                                    Recommended Activities:
                                                                    ● Trend analysis
                                                                    ● Visualize and Interpret Data







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