• Ep 29: Using Talent Lifecycle Intelligence and Responsible AI to Mitigate Talent Risk with Sultan Saidov

  • Oct 22 2024
  • Length: 53 mins
  • Podcast

Ep 29: Using Talent Lifecycle Intelligence and Responsible AI to Mitigate Talent Risk with Sultan Saidov

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  • Summary

  • Sultan Saidov, Co-founder and President of Beamery, sits down with Bob to discuss the impetus for starting the company and the evolution of AI in talent management. Sultan highlights the need for identifying and developing potential in employees, as well as the importance of transparency and information in making career choices. He also emphasizes the role of AI in talent risk management and the shift towards treating talent like customers. Bob and Sultan discuss the challenges of integrating talent intelligence and people analytics and the potential for generative AI in improving data accessibility and decision-making. The conversation explores the challenges and opportunities of using AI in HR and the importance of Responsible AI. Sultan discusses the need for AI models to fail safely and the importance of data safety and security. He highlights the legal review required for HR use cases and the slow adoption of AI in the HR industry. The conversation also touches on the value of integrating AI into existing platforms and the potential for AI to provide guidance and insights. The discussion concludes with a focus on the importance of Responsible AI, including bias auditing and transparency. Keywords talent management, AI, potential, transparency, career choices, talent risk management, talent intelligence, people analytics, generative AI, AI in HR, responsible AI, data safety, legal review, AI adoption, integrating AI, guidance and insights, bias auditing, transparency Takeaways Identifying and developing potential in employees is crucial for talent management. Transparency and information are essential for making informed career choices. AI can play a significant role in talent risk management. Integrating talent intelligence and people analytics can lead to better decision-making. AI models in HR should be designed to fail safely and prioritize data safety and security. Integrating AI into existing platforms can unlock the full potential of AI and provide a seamless user experience. AI can provide guidance and insights, going beyond task execution to help users ask better questions and make more informed decisions. Responsible AI practices, such as bias auditing and transparency, are crucial in ensuring fair and ethical outcomes in HR. Sound Bites "Making career choices available to people, not just simpler, but fairer." "Creating more information transparency and solving asymmetries." "Redeploying and training employees is financially more efficient than hiring new people." "We're trying to make very particular interactions that our products and AI models already serve work in a much easier and more seamless way." "What extra insights can we show that give you guidance? For example, can we tell you that before you post this role, consider removing these requirements in order to not be at risk." Chapters 00:00 Introduction and Background 07:47 Transparency and Information 10:48 Talent Risk Management 16:16 Integrating Talent Intelligence and People Analytics 20:12 Generative AI and Data Accessibility 27:54 Challenges and Opportunities of AI in HR 31:13 AI as a Guide for Better Decision-Making 33:01 Injecting Nudges and Concepts with Digital Adoption Platforms 36:03 Building Trust in AI Platforms 38:55 The Role of Responsible AI in HR Sultan Saidov: https://www.linkedin.com/in/sultanmurad/ Beamery: https://beamery.com For advisory work and podcast sponsorship inquiries: Bob Pulver: https://linkedin.com/in/bobpulver Elevate Your AIQ: https://elevateyouraiq.com
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