---
title: 'Ethical Considerations for Generative AI | Sriram Natarajan | TEDxWoodinville'
source: 'https://youtube.com/watch?v=EkF2wvflRns'
video_id: 'EkF2wvflRns'
date: 2026-07-31
duration_sec: 445
---

# Ethical Considerations for Generative AI | Sriram Natarajan | TEDxWoodinville

> Source: [Ethical Considerations for Generative AI | Sriram Natarajan | TEDxWoodinville](https://youtube.com/watch?v=EkF2wvflRns)

## Summary

Sriram Natarajan recounts how an AI-powered app created a convincing fake video of him speaking Hindi, which sparked his concern about the ethical risks of generative AI. He illustrates the dangers with real-world examples, from deepfake videos to biased training data, and offers practical ways for users to engage responsibly. The talk encourages a collective commitment to questioning and curating AI so it serves human potential rather than undermining it.

### Key Points

- **A personal encounter with an AI deepfake** [00:03] — The speaker, who never learned Hindi, used an app that transformed a video of him into a convincing fluent Hindi speaker. While amazed, he immediately recognized the potential for misuse in spreading false information.
- **Generative AI's deceptive capabilities** [01:12] — Generative AI can mimic any writer's style, produce whole novels without attribution, doctor images with harmful intent, and create fake videos that blur the line between fiction and reality.
- **Real-world harm: the fake principal video** [01:56] — Students in Carmel, New York, created a fake video of a school principal saying racist, vulgar, and aggressive things. The video spread across social media and seriously damaged the school's reputation.
- **From online content to personal tragedy** [02:26] — The speaker shares that his cousin, after practicing Kundalini Yoga learned only from online videos, suffered mental instability and isolation, stopped eating for days, and ultimately met a tragic end. This underscores how unguided online content can cause real harm.
- **Where AI training data comes from** [03:38] — Most generative AI systems are experimental and trained on publicly available data, licensed data, and human-curated content. Because public data contains biases, misinformation, and inaccuracies, AI systems learn those same flaws.
- **Engage with curiosity and demand safety** [04:36] — Users should seek AI systems that prioritize safety, provide verifiable answers, and show how they work. One practical approach is to ask the AI to explain its safety principles and policies instead of reading dense legal documents.
- **Ask when not to trust AI** [05:05] — The speaker advises asking AI point-blank, 'When should I not trust you?' Knowing when to abstain from using the tool is as important as knowing how to use it.
- **Your feedback makes AI better** [05:36] — Flagging concerning AI outputs is a vital part of improving the technology. Unlike social media, where flagging reports violations, flagging in AI systems contributes to maturing the tools and keeping them on the right track.
- **AI as a superpower** [06:16] — By evaluating AI-generated content, probing for sources, and giving feedback, users can turn generative AI into a 'superpower' that amplifies human potential rather than obscuring it.

## Transcript

growing up in India I missed out on learning Hindi the language that connects more than half a billion people and when I finally tried speaking
people and when I finally tried speaking it well let's just say my first attempts were like a funny dance routine a mix of confusion tongue twisters and EXP
Impressions that probably left native speakers scratching their speakers scratching their heads but then my journey took a Twist I stumbled upon an app that magically turned a video of me and a
magically turned a video of me and a popular Hindi script into a flu and fake popular Hindi script into a flu and fake video suddenly there I was a fluent video suddenly there I was a fluent Hindi speaker on screen like magic
I was blown away by the result it's a testament to how far come yet right then and there a bunch of red
flags popped up in my mind this was about the flip side how easily could this be misused to
spread false information and that concern seems valid when we look at how generative artificial intelligence is increasingly becoming an artistic Creator it can now mimic any writer's
Creator it can now mimic any writer's Unique Style churning out entire novels without attribution it can doctor images of people with harmful intent and it can create fake videos
that blur the lines between fiction and reality school students in Carmel New York created a fake video of a principal from
created a fake video of a principal from a nearby School saying racist vulgar and aggressive things the video storm through social media damaging the school's reputation as someone who's deeply
involved in the world of AI it hit me hard to see the technology I'm so passionate about being used for deception and manipulation it's like a dark sequel to the social media
Saga where misinformation can actually harm real harm real people and I've seen this
ago my cousin started practicing Kundalini Yoga by just watching online videos and without any guidance it led him down a path of mental
mental instability and isolation from family he even went without food for days days ultimately leading to his tragic
creating harmful or misguided content with just few text promps with the power of social media to spread it we have a recipe for
disaster the reality today is that most generative AI systems remain in research or experimental modes and they are trained on publicly available data mixed with some licensed data and content curated by human
trainers what's deeply concerning is that public information often contains societal biases misinformation and inaccuracies baked right in and these systems learn from it with all its flaws and
thing these systems acknowledge the possibility of generating inaccurate or offensive information showcasing how easily it can information showcasing how easily it can be harnessed for malicious
intent so when we engage with these systems it is our Collective responsibility to be curious we should go for AI systems that
make safety a priority give us answers that we can validate and let us see how they work all while staying
by having conversations with them ask an AI system to explain its safety principles and policies and and see how it responds instead of slogging through complex terms and services and privacy
policy documents we now have a chance to get insights through its summarization get insights through its summarization capabilities also ask it point blank when should I not trust you knowing when to abstain from using
these tools is just as vital and prepares you to make informed decisions raises concerns simply hit that flag
button unlike social media where flagging content is used to report rule violations in AI systems your voice plays a vital role in maturing these
plays a vital role in maturing these tools and helps them keep on the right content take a moment to ask questions like where did this info come
like where did this info come from or how did you arrive at this just like with a friend insisting on transparency helps ensure accuracy and avoids spreading false
information so by carefully evaluating generative AI systems the content they produce and by providing feedback we can harness AI as our
feedback we can harness AI as our superpower generative AI system have a conversation with it ask it to explain its
capabilities limitations and training data sources allowing you to better understand its strengths weaknesses and
trustworthiness that's your immediate impact and it can truly shape the impact and it can truly shape the experience not just for you but for
Channel toward a future where ai's potential amplifies rather than obscures the obscures the Brilliance of human potential