FREE  VIDEO COURSE

AI Ethics & Responsible

Responsible AI use is not only a legal or technical issue. It shows up in everyday choices: what data goes into a tool, how people check for bias, when content needs disclosure, and who owns the final decision. This course gives employees a practical ethics framework for using AI at work. It covers fairness, transparency, privacy, intellectual property, overreliance, disclosure, policy, ethical dilemmas, and human-AI collaboration.

What you'll learn:

  • Recognize the ethical risks that can appear in routine AI use
  • Check AI work for bias, privacy issues, weak evidence, and hidden assumptions
  • Use disclosure, policy, and human review to protect trust
    - Handle AI dilemmas with a clear decision process rather than guesswork

AI Ethics & Responsible

1

Why AI Ethics Matters for Everyone 

What employees need to know about why AI ethics belongs in everyday work, why it matters, and how to avoid treating ethics as a legal topic that only specialists handle.

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2

Bias in AI: Understanding and Mitigating It 

How how bias can enter and appear in AI systems shows up in real work, including the checks that prevent assuming a machine answer is neutral because it came from software.

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3

Transparency and Explainability in AI 

A practical look at transparency and explainability in AI use: where it helps, what to check, and how to avoid using AI outputs that no one can explain to a customer, manager, or regulator.

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4

Privacy Implications of AI Tools 

How privacy issues that appear when employees use AI tools shows up in real work, including the checks that prevent sharing sensitive information with a tool that is not cleared for it.

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5

AI and Intellectual Property 

A plain-English guide to intellectual property questions in AI-generated work, with workplace examples and a warning about assuming AI content is automatically safe to publish or sell.

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6

Avoiding Overreliance on AI 

How how overreliance on AI weakens judgment shows up in real work, including the checks that prevent letting convenient answers replace thinking, evidence, or responsibility.

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7

AI-Generated Content: Disclosure and Authenticity 

How when AI-generated content needs disclosure shows up in real work, including the checks that prevent damaging trust by hiding AI involvement where it matters.

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8

Responsible AI Use Policies 

How to use turning policy into simple choices about tools, data, review, approval, and escalation while keeping an eye on having a policy that employees cannot apply under normal work pressure.

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9

Navigating Ethical Dilemmas with AI 

A practical look at how to handle ethical dilemmas with AI: where it helps, what to check, and how to avoid treating every dilemma as a personal judgment call.

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10

The Future of Human-AI Collaboration 

A plain-English guide to what healthy human-AI collaboration can look like, with workplace examples and a warning about framing the future as humans versus AI instead of designing better workflows.

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About the teacher

Vikram Chalana

Vikram Chalana is the co-founder and CEO of Pictory. He is an engineer and entrepreneur who previously co-founded Winshuttle, an enterprise software company that grew to 300 employees globally.

At Pictory, Vikram works on making video creation easier for trainers, educators, marketers and business teams who want to turn existing content into clear, useful videos with AI.