VTU 2022 Scheme  ·  Degree  ·  AIML

Ethics and Public Policy for AI BAI358B

Module-wise notes, PYQs, and a built-in resource explorer — everything you need to crack BAI358B in one focused page.

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CodeBAI358B
Credits03
CIE / SEE50 / 50
TypeTheory
Exam3 Hours
Hours / Week1:0:0
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Last Updated:  15 March 2026

Module Overview

M1

Module 1 Overview

An Ethical Framework for a Good AI Society: opportunities, Risks, principles and Recommendations. Establishing the rules for building trustworthy AI

Textbook1: Chapter 3, chapter 4

M2

Module 2 Overview

Translating principles into practices of digital ethics: five risks of being Unethical

The Ethics of Algorithms: Key problems and Solution

How to Design AI for Social Good: Seven Essential Factors

Textbook1: Chapter 6, Chapter 8, Chapter 9

M3

Module 3 Overview

How to design AI for social good: seven essential factors

From What to How: An Initial Review of publicly available AI Ethics tools, Methods and Research to Translate principles into Practices

Textbook1: Chapter 9, Chapter 10

M4

Module 4 Overview

Innovating with Confidence: Embedding AI Governance and fairness in financial Services Risk management framework,

What the near future of AI could be.

Textbook1: Chapter 20, chapter 22

M5

Module 5 Overview

Human-AI Relationship, AI and Workforce, Autonomous Machines and Moral Decisions,

AI in HealthCare: balancing Progress and Ethics,

Regulation and Governance of AI Ethics

Textbook2 : Chapter 5,Chapter 8, Chapter 9

Ethics and Public Policy for AI BAI358B is a VTU course covered through module-wise syllabus, notes, and PYQ-driven exam practice available on this page.

Credits for BAI358B: 03.

Yes. You can access organized notes, PDFs, and PYQ material from the file explorer/resources section on this page.

Start with module summaries, solve recent PYQs unit-wise, and finish with complete paper practice under time constraints for SEE readiness.

Yes, this page is maintained with current scheme-oriented materials and practical exam-focused resource curation.

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Resource Explorer

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Frequently Asked Questions

What is BAI358B (Ethics and Public Policy for AI BAI358B)?

Ethics and Public Policy for AI BAI358B is a VTU course covered through module-wise syllabus, notes, and PYQ-driven exam practice available on this page.

How many credits is BAI358B?

Credits for BAI358B: 03.

Are notes and previous year question papers available for BAI358B?

Yes. You can access organized notes, PDFs, and PYQ material from the file explorer/resources section on this page.

How should I prepare Ethics and Public Policy for AI BAI358B for VTU exams?

Start with module summaries, solve recent PYQs unit-wise, and finish with complete paper practice under time constraints for SEE readiness.

Is this BAI358B page updated for current VTU scheme?

Yes, this page is maintained with current scheme-oriented materials and practical exam-focused resource curation.

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About Ethics and Public Policy for AI (BAI358B)

Ethics and Public Policy for AI (BAI358B) is a critical course in the VTU curriculum, essential for any student looking to master the foundations of engineering. It covers key theoretical frameworks and practical concepts that are widely used in the industry today, ensuring students are well-prepared for both exams and their future careers.

Success Strategy

Highlight definitions, advantages/disadvantages, and use case examples. Clear headings and bullet points are essential for VTU evaluators.

📘 Detailed Syllabus & Topic Breakdown

Detailed Subject Overview

Ethics and Public Policy for AI (BAI358B) is designed to provide a comprehensive look into the core methodologies and advanced theories that define this field. Understanding this subject is fundamental for anyone looking to excel in modern technical domains and industrial engineering.

By studying this course, you will learn how to approach complex problems with a structured mindset, optimizing systems for better performance and reliability—skills that are highly valued in both AI research and software architecture.

Module-by-Module Breakdown

Module 1
Essential

Master the An Ethical Framework for a Good AI Society opportunities, Risks, principles and Recommendations. Establishing the rules for building trustworthy AI...

Key: Exam Priority Concept
Module 2
Math Heavy

Master the Translating principles into practices of digital ethics five risks of being Unethical...

Key: Exam Priority Concept
Module 3
Logic Core

Master the How to design AI for social good seven essential factors...

Key: Exam Priority Concept
Module 4
Exam Focus

Master the Innovating with Confidence Embedding AI Governance and fairness in financial Services Risk management framework,...

Key: Exam Priority Concept
Module 5
High Weight

Master the Human-AI Relationship, AI and Workforce, Autonomous Machines and Moral Decisions, ...

Key: Exam Priority Concept

Professional Career Relevance

This subject provides a strong foundation for various technical roles, emphasizing analytical thinking, system design, and the practical application of engineering principles in the modern industry. Mastering these concepts prepares you for high-demand roles in Data Science, System Architecture, and Technical Leadership in top-tier tech companies.

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