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โšก AI Ethics Exposed: The Truth About Fairness & Bias! ๐Ÿš€

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Manage episode 468807251 series 3496824
Content provided by Ramesh Dontha. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ramesh Dontha or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Do you think AI can ever be truly unbiased?

How should AI companies balance transparency with security when disclosing AI decision-making processes?

Have you ever encountered AI-generated content that felt biased? How did it impact your trust in AI?

What are your thoughts on using AI to improve fairness in finance and healthcare?

Would you prefer AI models designed for general use or small, purpose-built AI models for specific tasks?

Hey there, tech enthusiasts! ๐Ÿš€ Today, weโ€™re diving deep into one of the most critical discussions in AIโ€”ethics, bias, and fairness in machine learning. Join our expert panelists, Cortnie Abercrombie, CEO & Founder of AI Truth, and Hassan Patel, Director of Global AI Policy at Fairly AI, as we explore the challenges and solutions for building responsible AI. From the rise of agentic AI and bias detection challenges to the future of explainability and causal AI, this discussion uncovers everything businesses need to know about ensuring fairness in AI-driven decisions.

Whether you're an entrepreneur, tech enthusiast, business leader, or policymaker, this conversation will give you practical insights on navigating AI ethics, governance, and fairness in 2025. Watch now and stay ahead in the AI revolution! ๐Ÿš€

๐Ÿ’Œ Subscribe to our Newsletters ๐Ÿ‘‰ https://aientrepreneurs.standout.digital/?utm_source=yt

๐ŸŒŸ Standout.Digital ๐ŸŒŸ - https://www.standout.digital/

Join a 73,500+ strong community. Deep-dive AI tutorials and tools. And FREE gifts๐ŸŽ: 100 ChatGPT prompts, an AI writer to go viral, the "Building A Minimum Viable Business in Record Time" Course, and the "4-Hour AI Workweek" course!

#AI #ArtificialIntelligence #AIEthics #MachineLearning #BiasInAI #FairnessInAI #ExplainableAI #ResponsibleAI #AICompliance #AITrends #FutureOfAI #AIInnovation #EthicalAI #AIRegulation #AIForBusiness #AIBias #TechTalk #CausalAI #AgenticAI #AITransparency #AIgovernance #DeepLearning #AIResearch

In This Episode:

  • [00:00] Introduction to AI Ethics and Bias.
  • [03:39] Understanding Bias in AI.
  • [09:24] The Challenge of Identifying Bias.
  • [13:05] Case Studies in AI Bias.
  • [24:07] Navigating Risks in AI Implementation.
  • [26:27] Practical Approaches to AI Fairness.
  • [29:37] Addressing General Purpose Use Cases.
  • [36:21] Best Practices for AI Implementation in Organizations.
  • [46:40] Casual AI: A New Frontier.
  • [50:51] Progress in AI Fairness and Bias Mitigation.

Connect with Cortnie Abercrombie:

Cortnie Abercrombie LinkedIn: https://www.linkedin.com/in/cortnieabercrombie/

AI Truth.org Website: https://www.aitruth.org/

AI Truth LinkedIn: https://www.linkedin.com/company/aitruth/

Connect with Hassan Patel:

Hassan Patel LinkedIn: https://www.linkedin.com/in/hassan-patel/

Fairly AI Website: https://www.fairly.ai/

Fairly AI LinkedIn: https://www.linkedin.com/company/fairlyai/

Connect with Ramesh Dontha:

AI Entrepreneurs Facebook Page: https://www.facebook.com/TheAIEntrepreneurs

Follow Ramesh on Twitter: https://twitter.com/EntrepreneursAI

Connect with Ramesh on LinkedIn: https://www.linkedin.com/company/theaientrepreneurs/

Watch the full episode on YouTube - https://youtube.com/@AI_Entrepreneurs

  continue reading

49 episodes

Artwork
iconShare
 
Manage episode 468807251 series 3496824
Content provided by Ramesh Dontha. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ramesh Dontha or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Do you think AI can ever be truly unbiased?

How should AI companies balance transparency with security when disclosing AI decision-making processes?

Have you ever encountered AI-generated content that felt biased? How did it impact your trust in AI?

What are your thoughts on using AI to improve fairness in finance and healthcare?

Would you prefer AI models designed for general use or small, purpose-built AI models for specific tasks?

Hey there, tech enthusiasts! ๐Ÿš€ Today, weโ€™re diving deep into one of the most critical discussions in AIโ€”ethics, bias, and fairness in machine learning. Join our expert panelists, Cortnie Abercrombie, CEO & Founder of AI Truth, and Hassan Patel, Director of Global AI Policy at Fairly AI, as we explore the challenges and solutions for building responsible AI. From the rise of agentic AI and bias detection challenges to the future of explainability and causal AI, this discussion uncovers everything businesses need to know about ensuring fairness in AI-driven decisions.

Whether you're an entrepreneur, tech enthusiast, business leader, or policymaker, this conversation will give you practical insights on navigating AI ethics, governance, and fairness in 2025. Watch now and stay ahead in the AI revolution! ๐Ÿš€

๐Ÿ’Œ Subscribe to our Newsletters ๐Ÿ‘‰ https://aientrepreneurs.standout.digital/?utm_source=yt

๐ŸŒŸ Standout.Digital ๐ŸŒŸ - https://www.standout.digital/

Join a 73,500+ strong community. Deep-dive AI tutorials and tools. And FREE gifts๐ŸŽ: 100 ChatGPT prompts, an AI writer to go viral, the "Building A Minimum Viable Business in Record Time" Course, and the "4-Hour AI Workweek" course!

#AI #ArtificialIntelligence #AIEthics #MachineLearning #BiasInAI #FairnessInAI #ExplainableAI #ResponsibleAI #AICompliance #AITrends #FutureOfAI #AIInnovation #EthicalAI #AIRegulation #AIForBusiness #AIBias #TechTalk #CausalAI #AgenticAI #AITransparency #AIgovernance #DeepLearning #AIResearch

In This Episode:

  • [00:00] Introduction to AI Ethics and Bias.
  • [03:39] Understanding Bias in AI.
  • [09:24] The Challenge of Identifying Bias.
  • [13:05] Case Studies in AI Bias.
  • [24:07] Navigating Risks in AI Implementation.
  • [26:27] Practical Approaches to AI Fairness.
  • [29:37] Addressing General Purpose Use Cases.
  • [36:21] Best Practices for AI Implementation in Organizations.
  • [46:40] Casual AI: A New Frontier.
  • [50:51] Progress in AI Fairness and Bias Mitigation.

Connect with Cortnie Abercrombie:

Cortnie Abercrombie LinkedIn: https://www.linkedin.com/in/cortnieabercrombie/

AI Truth.org Website: https://www.aitruth.org/

AI Truth LinkedIn: https://www.linkedin.com/company/aitruth/

Connect with Hassan Patel:

Hassan Patel LinkedIn: https://www.linkedin.com/in/hassan-patel/

Fairly AI Website: https://www.fairly.ai/

Fairly AI LinkedIn: https://www.linkedin.com/company/fairlyai/

Connect with Ramesh Dontha:

AI Entrepreneurs Facebook Page: https://www.facebook.com/TheAIEntrepreneurs

Follow Ramesh on Twitter: https://twitter.com/EntrepreneursAI

Connect with Ramesh on LinkedIn: https://www.linkedin.com/company/theaientrepreneurs/

Watch the full episode on YouTube - https://youtube.com/@AI_Entrepreneurs

  continue reading

49 episodes

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