AI is no longer experimental, itโs powering products, shaping industries, and influencing lives. But with this power comes responsibility. From algorithmic bias to federal compliance requirements, U.S. technologists must ensure that the systems they build are fair, transparent, and legally sound.
This live session teaches practical strategies for responsible AI development, giving technologists the tools they need to stay ahead of regulations, avoid compliance pitfalls, and build trust in their AI solutions.
โก You Will Learn: - U.S. regulations and ethical standards guiding AI development in 2025. - How to detect and mitigate bias in datasets and models. - Building AI with transparency and explainability in mind.
โก Why This Matters: Regulators, courts, and companies are holding technologists accountable. Building powerful AI isnโt enough, it must also be responsible AI. This training equips engineers and innovators to align with law, ethics, and best practices.
โก Who Should Attend: - AI/ML Engineers - Data Scientists - Product Managers - Startups and AI entrepreneurs
Everything AI and Law Podcast
๐๐ผ๐ ๐๐ผ ๐๐๐ถ๐น๐ฑ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐น๐ ๐๐ถ๐๐ต ๐๐:
๐ ๐๐ถ๐๐ฒ ๐ง๐ฟ๐ฎ๐ถ๐ป๐ถ๐ป๐ด ๐ณ๐ผ๐ฟ ๐ง๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ถ๐๐๐ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฑ
AI is no longer experimental, itโs powering products, shaping industries, and influencing lives. But with this power comes responsibility. From algorithmic bias to federal compliance requirements, U.S. technologists must ensure that the systems they build are fair, transparent, and legally sound.
This live session teaches practical strategies for responsible AI development, giving technologists the tools they need to stay ahead of regulations, avoid compliance pitfalls, and build trust in their AI solutions.
โก You Will Learn:
- U.S. regulations and ethical standards guiding AI development in 2025.
- How to detect and mitigate bias in datasets and models.
- Building AI with transparency and explainability in mind.
โก Why This Matters:
Regulators, courts, and companies are holding technologists accountable. Building powerful AI isnโt enough, it must also be responsible AI. This training equips engineers and innovators to align with law, ethics, and best practices.
โก Who Should Attend:
- AI/ML Engineers
- Data Scientists
- Product Managers
- Startups and AI entrepreneurs
- Event Details
Date: Sep 11, 2025
Time: 12:00 PM โ 1:00 PM ET
REGISTER FOR FREE - us05web.zoom.us/meeting/register/6X94hIfsTMaYvM11Dโฆ
#AI #ResponsibleAI #AIethics #ArtificialIntelligence #TechForGood #TrustworthyAI #ML
3 months ago | [YT] | 3