7 hour AI Safety Course in 35 Mins
Tina Huang
@tinahuang1About
Hi! My name is Tina and I’m an ex-Meta data scientist. This channel is about AI, coding, tech, career and self-study. My goal is always to minimize effort and maximise outcome. I basically refuse to do extra work to achieve my goals (which is why I love AI…)
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Check out HubSpot’s Guide on using AI for Data Analysis: https://clickhubspot.com/7289c5 🤖 Want to get ahead in your career using AI? Join the waitlist for my AI Agent Bootcamp: https://www.lonelyoctopus.com/ai-agent-bootcamp 🤝 Business Inquiries: https://tally.so/r/mRDV99 #AISafety #ArtificialIntelligence #TinaHuang AI is transforming every industry, but are we building it safely? In this video, I’ll break down AI Safety: what it really means, why it’s critical, and how to apply it when developing or using AI systems. You’ll learn: What AI Safety is and why it matters Real-world examples of unsafe AI systems The most important AI safety frameworks — NIST, Microsoft, MITRE, Databricks, ISO, and IEEE How to build AI systems safely (with and without code) Practical ways to manage AI risks like bias, model theft, and data poisoning Whether you’re a developer, researcher, or just curious about the hidden risks behind AI, this crash course will help you understand how to keep AI trustworthy and aligned. Frameworks & Resources Mentioned: NIST AI Risk Management Framework Microsoft AI Security Framework MITRE ATLAS (Adversarial Threat Landscape) Databricks AI Security Framework (DASF 2.0) ISO/IEC 42001:2023 – AI Management Systems IEEE Ethically Aligned Design Initiative 🖱️Links mentioned in video ======================== AI Safety, Ethics, & Society Course: https://www.youtube.com/watch?v=ixdfqY3Xyao&list=PLXSn3Zz2ayT7ab7I12PBYVt0244369S1q OWASP Top 10 LLM Risk: https://genai.owasp.org/ MITRE ATLAS (Adversarial Threat Landscape): https://atlas.mitre.org/ NIST AI Risk Management Framework: https://www.nist.gov/itl/ai-risk-management-framework 🔗Affiliates ======================== My SQL for data science interviews course (10 full interviews): https://365datascience.com/learn-sql-for-data-science-interviews/ 365 Data Science: https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training) Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tina 🎥 My filming setup ======================== 📷 camera: https://amzn.to/3LHbi7N 🎤 mic: https://amzn.to/3LqoFJb 🔭 tripod: https://amzn.to/3DkjGHe 💡 lights: https://amzn.to/3LmOhqk ⏰Timestamps ======================== 00:00 Intro 00:44 Overview 01:40 Definition of AI Safety 04:30 4 Sources of AI Risks 05:14 Source 1: Malicious Use 08:22 Source 2: AI Racing Dynamics 11:26 Source 3: Organizational Safety Issues 15:38 Source 4: Rogue AIs 18:30 Quiz 1 18:40 Practical Approaches to AI Safety 19:05 Practical Tips for Organizations 25:55 Practical Tips for Individuals 29:19 Practical Tips for Developers/Builders (OWASP Top 10) 31:02 Practical Tips for Governance and Policy 34:21 Quiz 2 📲Socials ======================== instagram: https://www.instagram.com/hellotinah/ linkedin: https://www.linkedin.com/in/tinaw-h/ tiktok: https://www.tiktok.com/@hellotinahuang discord: https://discord.gg/5mMAtprshX 🎥Other videos you might be interested in ======================== How I consistently study with a full time job: https://www.youtube.com/watch?v=INymz5VwLmk How I would learn to code (if I could start over): https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s 🐈⬛🐈⬛About me ======================== Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person! 📧Contact ======================== youtube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: [email protected] ======================== Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)
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