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
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AI Safety, Ethics, & Society Course:
https://www.youtube.com/watch?v=ixdfqY3Xyao&list=PLXSn3Zz2ayT7ab7I12PBYVt0244369S1qOWASP 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
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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
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📷 camera:
https://amzn.to/3LHbi7N🎤 mic:
https://amzn.to/3LqoFJb🔭 tripod:
https://amzn.to/3DkjGHe💡 lights:
https://amzn.to/3LmOhqk⏰Timestamps
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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
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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
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How I consistently study with a full time job:
https://www.youtube.com/watch?v=INymz5VwLmkHow I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s🐈⬛🐈⬛About me
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Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person!
📧Contact
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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: tina@smoothmedia.co
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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! :)