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Elevate Your AIQ

Elevate Your AIQ

Auteur(s): WRKdefined
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Bob Pulver is helping each of us navigate our respective journeys with artificial intelligence (AI) effectively and responsibly. Bob chats with AI and Future of Work experts, talent and transformation leaders, and practitioners who provide diverse perspectives on how AI is solving real-world challenges and driving responsible innovation.All rights reserved by WRKdefined Développement commercial et entrepreneuriat Entrepreneurship Gestion et leadership Économie
Épisodes
  • Ep 93: Strengthening Human Connection to Build Trust in AI-Fueled Transformation with Dan Riley
    Nov 14 2025
    Bob Pulver talks with Dan Riley, CEO and Co-founder of RADICL, about reshaping work through connection, trust, and clarity. From his roots as a punk rock musician to building Modern Survey and RADICL, Dan shares how creativity, curiosity, and courage fuel his leadership philosophy. Together, they explore the balance between human imperfection and technological advancement, why “high tech” must still serve human needs, and how organizations can build cultures that learn, listen, and adapt. The discussion spans themes of AI strategy, responsible design, employee listening, and the enduring value of genuine human connection. KeywordsDan Riley, RADICL, Modern Survey, Aon, employee listening, people analytics, connection, trust, AI ethics, human-AI collaboration, imperfection, curiosity, creativity, collective intelligence, organizational network analysis, people analytics world, Unleash, Transform, learning culture, human connection, responsible AI Takeaways Imperfection is a defining strength of humanity — and the source of creativity and innovation. The best technology solves real human problems in the flow of work, not just productivity gaps. AI is a mirror, amplifying human intent and behavior; if we lead with empathy and ethics, AI learns from that. Clarity, communication, and transparency are critical to avoiding “AI chaos” inside organizations. Continuous listening and connection are the new foundations for engagement and trust. Curiosity and conversation are essential skills for navigating the fast-moving future of work. The most effective teams balance diverse strengths rather than relying solely on “rock stars.” True progress happens when we keep the human conversation going — across roles, hierarchies, and perspectives. Quotes “I define myself as an artist first — a musician, filmmaker, who randomly fell into HR and tech.” “The most beautiful part about being human is that we’re imperfect — that’s where the best ideas come from.” “AI doesn’t fix our flaws; it amplifies them. It’s a mirror of how we show up.” “For technology to work, it has to be solving a human problem in the flow, not just adding to the stack.” “It’s okay to say, ‘We don’t have it all figured out yet’ — just be transparent about where you are.” “You’ll never regret having a conversation about something important.” Chapters 00:03 – Welcome and Dan’s background: from punk rock to HR tech 01:45 – Founding Modern Survey and RADICL’s mission around trust and impact 05:14 – The changing landscape of work 06:42 – Highlights from People Analytics World, Transform, and Unleash 09:50 – Rise of human connection as the dominant theme in work tech 13:10 – Clarity, communication, and the need for an AI strategy 16:19 – Productivity, balance, and reinvesting in people 18:36 – The risk of over-automation and the value of learning 22:16 – Teaching curiosity and critical thinking in an AI world 27:25 – Why open conversations about AI matter more than ever 33:51 – Employee listening, continuous dialogue, and the evolution of engagement 37:22 – How AI enhances understanding and connection between teams 40:06 – Organizational network analysis and adaptive learning 43:21 – Connection, mentorship, and collective intelligence 46:03 – AI as a mirror: amplification of human behavior and bias 48:36 – Building balanced, imperfect, and effective teams 51:48 – Tools, curiosity, and the limits of generative AI 55:35 – Trusting your judgment and maintaining critical thinking 56:34 – Staying human amid synthetic connection 57:45 – Closing reflections and the call for ongoing dialogue Dan Riley: https://www.linkedin.com/in/dan-riley-57b9431 RADICL: http://www.radiclwork.com For advisory work and marketing inquiries: Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠ Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠ Substack: ⁠https://elevateyouraiq.substack.com⁠
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    57 min
  • Ep 92: Appreciating the Importance of Self-Awareness to Human-AI Collaboration with Brad Topliff
    Nov 7 2025
    Bob Pulver talks with creative technologist and entrepreneur Brad Topliff about building more human-centered systems for the AI era. Brad reflects on his nonlinear career—from early work in design and user experience, to many years at data and analytics company TIBCO, to his latest venture, SelfActual, which helps people and teams cultivate self-awareness, strengths, and alignment. Together, Bob and Brad explore the intersections of identity, trust, data ownership, and imagination in the workplace, and how understanding ourselves better can make AI more supportive—not more invasive. The conversation bridges psychology, technology, and ethics to imagine a future of work where humans remain firmly in control of their data, choices, and growth. Keywords Brad Topliff, SelfActual, TIBCO, self-awareness, positive psychology, data ownership, digital identity, AI ethics, imagination, human-centric design, trust, internal mobility, talent data, distributed identity, psychological safety, future of work Takeaways Self-awareness is foundational to effective teams and ethical AI use. Personal data about strengths and values should be owned by the individual, not the employer. AI can serve as a mirror and reframing tool, helping people build perspective—not replace human judgment. Internal mobility and growth depend on psychological safety and discretion around what employees share. Positive psychology and imagination can help teams align without reducing people to static personality types. The next era of HR tech should prioritize trust, transparency, and consent in how personal data is used. True human readiness for AI means combining durable human skills with thoughtful technology design. Quotes “I became a translator between the arts, the engineers, and leadership—and that’s carried through everything I’ve done.” “When you create data about yourself, who owns it? You? Your organization? The answer matters for trust.” “Most people think they’re self-aware—but only about twelve percent actually are.” “A job interview is two people sitting across the table from each other lying. We both present what we think the other wants to hear.” “If you give people autonomy and psychological safety, they’ll show up more fully as themselves.” “In the presence of trust, you don’t need security.” Chapters 00:03 – Welcome and Brad’s background in design, Apple roots, and TIBCO experience 05:46 – From UX to data: connecting human insight with enterprise technology 07:48 – Self-awareness, ownership of personal data, and building SelfActual 11:00 – The tension between authenticity, masking, and “bringing your whole self” to work 18:19 – Digital credentials, resumes, and rethinking candidate data ownership 23:08 – Internal mobility, verifiable credentials, and distributed identity 32:51 – Broad skills vs. specialization and the role of AI in talent matching 34:48 – Self-awareness, imagination, and positive psychology at work 46:48 – Rethinking internal mobility and autonomy for well-being and growth 49:26 – Human-centric AI readiness and the limits of automation 58:40 – Trust, security, and ownership of data in organizational AI systems 01:02:37 – Reflections on digital twins, imagination, and collective intelligence 01:08:06 – Closing thoughts and Self Actual’s human-first approach Brad Topliff: https://www.linkedin.com/in/bradtopliff SelfActual: https://selfactual.ai For advisory work and marketing inquiries: Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠ Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠ Substack: ⁠https://elevateyouraiq.substack.com⁠
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    1 h et 3 min
  • Ep 91: Evolving Candidate Engagement from Conversational AI to Hiring Intelligence with Prem Kumar
    Oct 31 2025
    Bob Pulver speaks with Prem Kumar, CEO and Co-founder of Humanly.io, about the evolution of hiring technology and the company's transition from a conversational AI tool to a full-fledged AI-powered hiring platform. Prem discusses the impact of Humanly’s recent acquisitions, expansion into post-hire engagement, and how they help employers address challenges in both high-volume and knowledge worker recruiting. Prem emphasizes the need for responsible, inclusive, and human-centric AI design, and explains how Humanly is helping organizations speed up hiring without sacrificing quality, fairness, or candidate experience. Keywords Humanly, conversational AI, AI interviewing, responsible AI, candidate experience, recruiting automation, employee engagement, AI acquisitions, ethics, RecFest, quality of hire, neurodiversity, candidate feedback, interview intelligence, AI coach, sourcing automation Takeaways Humanly’s evolution includes three strategic acquisitions that expand its platform from candidate screening to post-hire engagement. The company’s mission is to help employers talk to 100% of their applicants—not just the 5% that typically make it through—and reduce time-to-hire. Prem highlights how AI can reduce ghosting by creating 24/7 availability and real-time Q&A touchpoints for candidates. Interview feedback tools and coaching features are being developed for both candidates and recruiters. The importance of AI workflow integration is critical—tools must operate within a recruiter’s day-to-day flow to be effective. Humanly’s platform helps uncover quality-of-hire insights by connecting interview behaviors with long-term employee outcomes. The need for third-party AI audits and ethical guardrails. Insights from diverse candidate populations—including neurodiverse candidates and early-career talent—are shaping Humanly’s inclusive design practices. Quotes “It’s not human vs. AI—it’s AI vs. being ignored.” “Our goal is to reduce time-to-hire without compromising quality or fairness.” “We’re obsessed with the problem, not just the solution. That’s what keeps us grounded as we scale.” “Responsible AI should be audited just like SOC 2 or ISO—trust is foundational in hiring.” “The best interview for one role won’t be the same for another. That’s where personalization and learning matter.” “Everything we’ve done to improve access for neurodiverse candidates has made the experience better for everyone.” Chapters 00:00 – Intro and Prem’s Background 01:00 – Humanly's Origins and the Candidate Experience Gap 03:00 – 2025 Growth, Funding, and Acquisition Strategy 05:15 – From Conversational AI to Full-Funnel Hiring Platform 06:30 – High-Volume and Knowledge Workers 08:00 – Combating Ghosting and Delays with AI Speed 10:30 – Candidate Support and Interview Feedback 12:00 – Creating a 24/7 Conversational Layer for Applicants 13:45 – Data-Driven Hiring and Candidate Self-Selection 15:00 – Interview Coaching and Practice Tools 17:00 – Acquisitions and Platform Consolidation Feedback 18:45 – Responsible AI and Third-Party Auditing 21:00 – Partnering with Values-Aligned Teams and Investors 22:00 – Measuring Candidate Experience Across All Interactions 24:00 – Connecting Interview Behavior to Quality of Hire 26:00 – Coaching Recruiters and Interview Intelligence 28:45 – Expanding Into Post-Hire and Internal Conversations 30:00 – The Future of AI in HR and Internal Use Cases 34:00 – Designing Inclusively for Diverse Candidate Needs 36:00 – Modalities, Accessibility, and Equity in Interviewing 39:00 – Generative AI Reflections and Everyday Use 42:00 – Wrapping Up: What's Next for Humanly Prem Kumar: https://www.linkedin.com/in/premskumar Humanly: https://humanly.io For advisory work and marketing inquiries: Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠ Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠ Substack: ⁠https://elevateyouraiq.substack.com⁠
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    45 min
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