What if your AI could be both ethical and effective?
Join Emily Rudolph, Stephanie Quan, and Charlotte Byrne from Capco as they unpack the complex ethical landscape of AI and machine learning.
With their rich backgrounds in AI governance, regulatory challenges, and large-scale AI deployment, these experts promise to equip you with the knowledge to navigate AI’s ethical minefield. From real-time experiments using ChatGPT-4 to actionable insights, this episode is a must-listen for anyone looking to understand the future of ethical AI.
Ever wondered how algorithms can perpetuate bias? Our discussion reveals the stark realities of AI-induced inequalities, especially for marginalized communities. We’ll dissect real-world examples like biased insurance and credit scoring systems, crash test dummies designed with gender bias, and hiring algorithms that favor male candidates. The conversation highlights how critical diversity within teams is to identify and mitigate these biases. Learn about the transformative power of training programs designed to help employees grasp AI tools, ultimately improving organizational performance.
What does ethical AI governance look like in practice? We tackle this question head-on, offering a robust framework for scaling AI solutions responsibly. From verifying AI-generated information to maintaining a human-in-the-loop approach, discover the keys to effective AI governance. We’ll also explore the future of ethical AI, emphasizing the need for continuous learning and adaptable governance frameworks. Don’t miss out on these invaluable insights that can help you stay ahead in the rapidly evolving world of AI and ML.
