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As AI becomes easier to build, trust becomes harder to earn. In this conversation, we explore the difference between AI ethics and responsible AI, why human-centered design still matters, and what happens when speed is prioritized over people. We talk about bias in data, transparency in credit scoring, hiring systems, and why trust may be the most valuable currency for AI products in the next decade. 00:00 Intro 01:26 Ethics vs Responsible AI 05:13 Human-Centered Design 07:07 When Humans Are Forgotten 10:38 Ethics In Practice 12:35 Backlash Against AI 14:21 Speed vs Ethics 16:09 Trust Builds Longevity 20:13 Handling Ethical Red Flags 23:14 Known And Unknown AI Bugs 23:56 Ethics For Future Leaders 24:55 Bias In Credit Scores 34:35 Need For Transparency In Credit Scoring 38:06 Measuring AI Fairness 40:23 When Hiring AI Fails 43:12 Advice For AI Leaders, Builders and Users 46:27 Closing 👉 Don't miss the first part • The Hidden AI Career Path That Will Be Eve... 👉 Subscribe for more practical leadership, AI and tech insights / @lumpiabytespodcast 💬 Follow Us / lumpiabytes / lumpiabytes / lumpiabytes 🎙️ Hosted By / lfushimi / moochiedg 🎙️ Special Guest (Karol See) / karol-see Disclaimer: All views expressed are personal and based on individual experience. This content is for information and entertainment only and does not represent the views of any employers or partners, nor does it constitute legal, financial, educational, or professional advice. No endorsement or guarantees implied. Hosts and guests may hold assets discussed in this episode or have a direct stake in them. #AI #ResponsibleAI #EthicalAI #Leadership #HumanCenteredDesign #TechLeadership #AITrust #ProductManagement #FilipinoTech #FutureOfWork #AIethics #TechPodcast