Planning For Generative Ai & Automation Impact

Protect your skills, privacy, and career from generative AI & automation impacts

What you'll learn

Identify and protect yourself from sophisticated deepfakes, misinformation, and online scams.

Understand the legal and ethical risks of AI-generated content and copyright.

Recognize and challenge hidden biases in algorithms that can lead to real-world discrimination.

Develop strategies to "future-proof" your career against AI-driven job displacement.

Grasp the complex dangers of Superintelligence and the environmental impact of AI technology.

Understand the risks of over-relying on AI and preserve your critical thinking skills.

Requirements

This course is designed for anyone curious about the real-world impact of Artificial Intelligence, regardless of your background. You do not need any programming skills, technical experience, or prior knowledge of AI to succeed. If you want to understand the hidden risks behind the technology shaping our future and learn practical strategies to protect yourself, your family, and your career, then this course is built specifically for you.

Description

Is Artificial Intelligence the future’s greatest opportunity - or its most dangerous threat?AI already makes life-altering decisions: it filters your job applications, approves your bank loans, and shapes the information you see online.In this course, you'll uncover the hidden dangers of AI - how deepfakes and misinformation are weaponized, whether your job is at risk from automation, and who really owns AI-generated art and content.With real-world examples and practical strategies, you’ll learn how to detect AI manipulation, protect your career, and think critically in a world increasingly run by algorithms. Don’t just use AI: understand its power, its risks, and how to stay ahead.Course Structure:Deepfakes and Misinformation:Discover how AI can convincingly fake faces, voices, and entire identities. You will see real-world political and financial scams and learn practical, step-by-step strategies to identify manipulated content.Overreliance on AI & Weakening of Human Skills:Explore the critical danger of "automation bias", where blindly trusting AI can weaken your own problem-solving skills, intuition, and creativity. This chapter exposes the psychological risks of letting algorithms make your decisions for you.Job Displacement:Will AI take your job? This chapter gives you a direct answer by exploring which industries are already being transformed by automation, from creative fields to logistics. Discover the new career opportunities AI is creating, learn which uniquely human skills are becoming more valuable than ever and get a practical roadmap to adapt, reskill, and future-proof your career.Creation of Superintelligent AI:What happens when we create an intelligence far beyond human comprehension? Step into the most debated topic in AI and explore the concept of a "Superintelligence". You will understand the immense opportunities and existential risks it presents.AI Biases and Discrimination:Uncover the hidden biases embedded in AI systems that can lead to unfair and discriminatory outcomes in job applications, loan approvals, and more. You will examine real-life case studies where seemingly objective algorithms have perpetuated harmful stereotypes based on race, gender, and age.Environmental Impact:AI isn't magic. It's powered by massive data centers with a surprisingly large environmental footprint. In this chapter, you will uncover the hidden environmental costs of training large AI models, from enormous electricity consumption to significant water usage.AI-Generated Content and Copyright:As AI generates millions of images, texts, and songs, who owns the copyright - the user or the machine? In this chapter, we explore the complex legal and ethical battles over AI-generated content, plagiarism, and intellectual property.AI Blindness:One of the greatest threats of AI is the belief that it's "someone else's problem". This chapter exposes the common psychological traps and cognitive biases that cause us to underestimate and ignore AI's growing influence on our lives. Learn why this makes you more vulnerable to manipulation and how to develop a realistic and proactive awareness of its true impact.AI Attention Economy - How AI Steals Your Attention and Controls Your Mind:Reclaim your focus by learning how social media and entertainment platforms use AI to engineer addiction and control your behavior. This chapter provides you with practical strategies to break free from the attention economy, set digital boundaries, and take back control of your time and mind.AI-enabled Surveillance:  How You’re Being WatchedAI is transforming everyday surveillance, from street cameras to your phone, into powerful tracking systems that can monitor your face, emotions, behavior, and even predict your actions. In this chapter, you'll learn how these technologies work, what laws (if any) protect you, and most importantly, how to take back control of your privacy in a world where simply existing means being watched.

Overview

Section 1: Welcome to the Course!

Lecture 1 Course Overview

Section 2: Deepfakes and Misinformation

Lecture 2 What is a deepfake?

Lecture 3 Example: Policital Deception

Lecture 4 Example: Scams and Impersonations

Lecture 5 Example: Harrasment and Non-Consensual Explicit Content

Lecture 6 How Easy is It to Create AI Misinformation Today?

Lecture 7 How Big is the Problem? Hype vs. Reality

Lecture 8 Who Is Most Vulnerable to Deepfakes and AI Misinformation?

Lecture 9 How to Protect Yourself and Your Community - Part 1

Lecture 10 How to Protect Yourself and Your Community - Part 2

Lecture 11 How to Protect Yourself and Your Community - Part 3

Lecture 12 The Fight Back by Platforms

Lecture 13 Legal Measures and Regulations

Lecture 14 Technological Countermeasures

Lecture 15 Media Literacy and Conclusion

Section 3: Overreliance on AI & Weakening of Human Skills

Lecture 16 Do we rely too much on AI?

Lecture 17 Amplification of Biases & Errors

Lecture 18 System Vulnerabilities

Lecture 19 AI’s De Facto Autonomy

Lecture 20 The Danger of System Failures

Lecture 21 How to Stay in Control

Section 4: Job Displacement

Lecture 22 How big is the problem?

Lecture 23 Industry and Occupations

Lecture 24 Manufacturing

Lecture 25 Information technology

Lecture 26 Retail and Wholesale

Lecture 27 Finance and Banking

Lecture 28 Healthcare

Lecture 29 Transportation

Lecture 30 Creative and Media

Lecture 31 No Industry Is Entirely Immune

Lecture 32 New Job Creation and Opportunities

Lecture 33 Emerging Roles

Lecture 34 Further Demanded Roles & Skills

Lecture 35 Recommendations: Preparing for the Future

Lecture 36 Students (Future Workforce)

Lecture 37 Mid-Career Professionals (Adapting in Current Careers)

Lecture 38 Late-Career Professionals (50s and Beyond)

Section 5: Creation of Superintelligent AI

Lecture 39 What is superintelligent AI?

Lecture 40 When Might Superintelligent AI Emerge?

Lecture 41 But why do these Predictions differ so much?

Lecture 42 Potential Benefits of Superintelligent AI

Lecture 43 Scientific and Medical Breakthroughs

Lecture 44 Economic Growth and Productivity

Lecture 45 Environmental Solutions

Lecture 46 Advancing Knowledge and Human understanding

Lecture 47 Human augmentation

Lecture 48 Risks and Ethical Considerations of Superintelligent AI

Lecture 49 Control Problem

Lecture 50 Existential Risk

Lecture 51 AI in the Wrong Hands

Lecture 52 Societal and Economic Disruption

Lecture 53 Ethical decision-making and value alignment

Lecture 54 Unintended consequences and errors

Lecture 55 Practical Advice for Navigating the Age of AI

Lecture 56 Stay Informed (but Skeptical)

Lecture 57 Engage in Dialogue

Lecture 58 Support Ethical AI and Policy Initiatives

Lecture 59 Focus on Values and Skills that Make Us Human

Section 6: AI biases and Discrimination

Lecture 60 What Is AI Bias and Discrimination?

Lecture 61 How Common Is AI Bias?

Lecture 62 How the bias occurs and Who is affected by it?

Lecture 63 Biased Data and Flawed Design

Lecture 64 Hiring and Employment: When Resumes Meet Robots

Lecture 65 Policing and Criminal Justice

Lecture 66 Facial Recognition and Surveillance

Lecture 67 Healthcare

Lecture 68 Banking and Finance

Lecture 69 Social Media

Lecture 70 Fighting AI Bias: Laws and Regulations

Lecture 71 The European Union’s AI Act (EU AI Act)

Lecture 72 The US NIST AI Risk Management Framework

Lecture 73 Canada’s Approach: Algorithmic Impact Assessments and Emerging Law

Lecture 74 What Can You Do? Practical Steps to Deal with AI Bias

Section 7: Environmental Impact

Lecture 75 It Was a Headline Designed to Shock!

Lecture 76 Environmental Indicators

Lecture 77 Energy Use and Carbon Emissions

Lecture 78 Water Consumption

Lecture 79 Materials and E-Waste

Lecture 80 Land Use and Local Impacts

Lecture 81 Perspective: AI vs. IT industry

Lecture 82 Perspective: AI vs. Agriculture (Meat Production)

Lecture 83 Perspective: AI vs. Transportation (Cars)

Lecture 84 Debunking Myths

Lecture 85 AI as an Ally

Section 8: AI-Generated Content and Copyright

Lecture 86 Training AI Models with Copyrighted Material: Learning or Stealing?

Lecture 87 AI learning vs. Human learning

Lecture 88 The legal gray zone – US vs EU

Lecture 89 Who is the Owner of AI-generated Art?

Lecture 90 Legal disputes and growing concerns in the creative industries

Lecture 91 Artists vs. AI companies

Lecture 92 The Getty Images showdown

Lecture 93 Authors and publishers speak up

Lecture 94 New responsibilities for users?

Lecture 95 Impact on Creative Industries: Adaptation or Extinction?

Lecture 96 Visual arts and design

Lecture 97 Writing and journalism

Lecture 98 Music and audio

Lecture 99 Survival through innovation

Lecture 100 Can legislation keep up with technology?

Lecture 101 Legislation in the European Union (EU AI Act)

Lecture 102 Legislation in the USA

Lecture 103 Industry self-regulation and licensing models

Lecture 104 Personal impact and practical steps

Section 9: AI Blindness

Lecture 105 Introduction to AI Blindness

Lecture 106 Exploring the Psychological Roots of Ignorance

Lecture 107 Normalcy Bias: Assuming Tomorrow = Today

Lecture 108 Optimism Bias and Overconfidence: “Humans Are Special”

Lecture 109 Cognitive Dissonance and Denial

Lecture 110 Social Proof and Groupthink: The Comfort of Collective Ignorance

Lecture 111 Real-World Consequences

Lecture 112 Professional Obsolescence and Job Disruptions

Lecture 113 Organizational Failure

Lecture 114 Economic and Societal Ripples

Lecture 115 Delayed Benefits and Innovation Stagnation

Lecture 116 The Psychological Shift Needed

Lecture 117 Embrace Curiosity Over Comfort

Lecture 118 Encourage a Growth Mindset and Continuous Learning

Lecture 119 Reframe AI as Augmentation, Not Replacement

Lecture 120 Foster Social Dialogue and Challenging of Assumptions

Section 10: AI Attention Economy: How AI Steals Your Attention and Controls Your Mind

Lecture 121 Introduction to Attention Economy

Lecture 122 The Age of Recommendation Algorithms

Lecture 123 DJs of Our Attention

Lecture 124 The Rise of Generative AI

Lecture 125 Deepfakes, chatbots and more

Lecture 126 Hyper-Personalization

Lecture 127 AI-Generated Influencers & Addiction

Lecture 128 Practical Tips and Strategies

Section 11: AI and Surveillance

Lecture 129 Introduction

Lecture 130 Defining Surveillance

Lecture 131 How AI is Changing Surveillance

Lecture 132 Facial Recognition and Biometric Identification

Lecture 133 Behavior Analysis and Anomaly Detection

Lecture 134 Automated Tracking Across Multiple Sources

Lecture 135 Predictive Surveillance and Policing

Lecture 136 EU AI Act - Protecting Citizens in the Age of AI

Lecture 137 Global Approaches: U.S., Canada and Others

Lecture 138 Actionable Steps for Individuals

Lecture 139 Educate Yourself and Stay Aware

Lecture 140 Manage Your Digital Footprint

Lecture 141 Be Mindful of Cameras and Smart Devices

Lecture 142 Limit What You Share

Lecture 143 Use Privacy-Enhancing Technologies and Techniques

Professionals and Business Leaders who want to understand how AI will impact their industry, from job displacement and algorithmic bias in hiring to the future of work itself.,Artists, Writers, and Content Creators concerned about copyright in the age of generative AI and who want to protect their intellectual property and creative careers.,Students and Educators aiming to prepare for the future job market and understand the risks of over-relying on AI tools for learning and critical thinking.,Parents, Guardians, and Seniors who want to learn how to identify dangerous deepfakes and misinformation to protect their families from online scams and manipulation.,Tech Enthusiasts and Policy Makers interested in the bigger ethical questions, such as the risks of Superintelligence, the environmental impact of AI, and how we can regulate this powerful technology.,Anyone Feeling Overwhelmed by Technology who wants to reclaim their focus from the grip of the AI-driven attention economy and use technology on their own terms.