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AI and Ethics

AI and Ethics

Assessment

Presentation

Computers

9th - 12th Grade

Practice Problem

Medium

Created by

ZAHURIN KPM-Guru

Used 4+ times

FREE Resource

14 Slides • 4 Questions

1

AI & Ethics:
Balancing Innovation & Responsibility

By ZAHURIN ASMAH BINTI ISMIL
ICT Teacher
SMK Sentosa, Kampar, Perak

media

2

Introduction to AI and Ethics

Why Ethics Matters in AI

  • AI is transforming industries, but it comes with ethical challenges.

  • Ethical AI ensures fairness, transparency, and accountability.

  • This lesson explores key ethical concerns and best practices.

3

Introduction to AI and Ethics

4

Key Ethical Principles in AI

The Pillars of Ethical AI

  • Fairness: Avoid bias and discrimination.

  • Transparency: Ensure AI decisions

    are explainable.

  • Accountability: Developers and users must

    take responsibility.

  • Privacy: Protect user data and consent.

  • Safety: Prevent AI from causing harm.

5

Bias in AI Systems

The Hidden Bias in AI

  • AI can inherit bias from training data.

  • Examples: Facial recognition misidentification, biased hiring tools.

  • Solutions: Diverse datasets, regular audits, fairness metrics.

6

Bias in AI Systems

The Hidden Bias in AI

  • AI can inherit bias from training data.

  • Examples: Facial recognition misidentification, biased hiring tools.

  • Solutions: Diverse datasets, regular audits, fairness metrics.

7

Privacy and Data Ethics

Who Owns Your Data?

  • AI relies on massive data collection.

  • Risks: Unauthorized access, surveillance,

    data breaches.

  • Regulations: GDPR, CCPA, and ethical

    data practices.

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8

AI & Decision Making

Can We Trust AI Decisions?

  • AI is used in hiring, law enforcement, healthcare, etc.

  • Risks of black-box models: Lack of transparency in decisions.

  • Explainable AI (XAI) ensures accountability

9

Bias in AI Systems

The Hidden Bias in AI

  • AI can inherit bias from training data.

  • Examples: Facial recognition misidentification, biased hiring tools.

  • Solutions: Diverse datasets, regular audits, fairness metrics.

10

The Impact of AI on Jobs

Will AI Replace Us?

  • AI automates tasks, affecting employment.

  • Ethical concern: How to retrain workers and ensure job security.

  • Solutions: Upskilling, human-AI collaboration

11

The Impact of AI on Jobs

12

Autonomous Weapons and AI Ethics

AI in Warfare: The Moral Dilemma

  • AI is used in drones and autonomous weapons.

  • Ethical concerns: Lack of human control, unintended consequences.

  • Global efforts to regulate AI in warfare.

13

Ethical AI Development

Building AI for Good

  • AI is used in drones and autonomous weapons.

  • Ethical concerns: Lack of human control, unintended consequences.

  • Global efforts to regulate AI in warfare.

14

Conclusion and Future of AI Ethics

Shaping an Ethical AI
Future

  • AI ethics is an ongoing discussion.

  • Everyone—developers, policymakers, and users—has a role.

  • Call to action: Promote responsible AI development and use.

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15

Multiple Choice

  • Which one is NOT TRUE about Ethics in AI?

1

fairness

2

transparency

3

simplify

4

accountability

16

Fill in the Blanks

Type answer...

17

Open Ended

What do you think the future of AI in jobs?

18

Poll

AI can replace anything for example jobs and employees

Agree

Disagree

Not Sure

AI & Ethics:
Balancing Innovation & Responsibility

By ZAHURIN ASMAH BINTI ISMIL
ICT Teacher
SMK Sentosa, Kampar, Perak

media

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