Elevate Your AIQ

Auteur(s): WRKdefined
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  • Résumé

  • 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.
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Épisodes
  • Ep 16: Navigating the Skills Landscape for the Evolution of Work with Gordon Ritchie

    Ep 16: Navigating the Skills Landscape for the Evolution of Work with Gordon Ritchie
    Sep 5 2024
    Bob Pulver and Gordon Ritchie, Principal Consultant and Skills Architect at Skill Collective, discuss the challenges and complexities of skills in the workplace. They explore topics such as skills assessments, skills ownership, skills taxonomy, and the role of AI in skills inference. They also touch on the importance of durable skills and the need for a shift in how skills are evaluated and matched in the hiring process. The conversation explores the challenges and considerations of skills-based hiring, the impact of automation on talent acquisition, and the importance of internal mobility and reskilling. It also delves into the use of assessments in evaluating human skills and the need for responsible AI practices. Bob and Gordon discuss the limitations of AI assessments and the importance of multiple sources of research. The conversation concludes with advice to explore and experiment with AI tools and to embrace continuous learning and adaptation. Keywords skills, assessments, ownership, taxonomy, AI, durable skills, hiring process, skills-based hiring, automation, talent acquisition, internal mobility, reskilling, assessments, responsible AI, research, experimentation, continuous learning Takeaways Skills assessments can help individuals and organizations identify aptitudes and capabilities. Ownership of skills is a challenge, as different HR verticals and solution providers vie to be the system of record for skills. Skills taxonomy and global skill standards are difficult to create and maintain, and may not be the most effective approach. Skills inference using AI can help identify skills based on descriptions and tasks, but it is important to consider the limitations and biases of AI. Durable skills, including critical thinking and problem-solving, are essential in a rapidly changing work environment. Skills-based hiring often falls short, with skills-based sourcing being more common. Inconsistencies in skills evaluation and matching persist in the hiring process. Skills-based hiring may not always lead to better outcomes and behavior. Hiring managers should focus on the tasks that need to be done, rather than just the skills required. Automation should be approached with consideration for the impact on culture, engagement, and retention. Internal mobility and reskilling can provide opportunities for employees and help retain valuable talent. Assessments in the AI space vary in reliability and validity, and caution should be exercised in their use. Continuous learning and experimentation with AI tools can help individuals elevate their AIQ. Sound Bites "Skills assessments can help individuals and organizations identify aptitudes and capabilities." "Skills taxonomy and global skill standards are difficult to create and maintain, and may not be the most effective approach." "Skills inference using AI can help identify skills based on descriptions and tasks, but it is important to consider the limitations and biases of AI." "And so that looks like a great vanity metric to measure the success of skills-based hiring on, but it hasn't actually changed the outcome and behavior." "What is it that needs doing? Because that's the business of the business. And that's what a job architecture needs to mirror or mimic." "You don't automate jobs, you automate tasks." Chapters 00:00 Introduction and Background 09:48 Challenges of Skills Taxonomy and Standards 19:12 Skills Inference with AI 25:19 The Importance of Durable Skills 33:27 Skills-Based Hiring Challenges 35:37 The Limitations of Skills-Based Hiring 39:23 Considering the Impact of Automation on Talent Acquisition 45:22 The Value of Internal Mobility and Reskilling 58:53 The Challenges of Assessments in the AI Space 01:06:07 Embracing Continuous Learning and Experimentation with AI Gordon Ritchie: https://www.linkedin.com/in/gordon-m-ritchie Skill Collective: https://skillcollective.co.uk Learn more about your ad choices. Visit megaphone.fm/adchoices
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    1 h
  • Ep 15: The Future of Skills Assessments and Hiring in the Age of AI with Dr. Charles Handler

    Ep 15: The Future of Skills Assessments and Hiring in the Age of AI with Dr. Charles Handler
    Sep 3 2024
    Bob is joined by Dr. Charles Handler to discuss various topics related to AI, skills-based hiring, and the challenges of keeping up with information overload. They explore the importance of defining skills in skills-based hiring and the need for verification at scale. They also touch on the value and risks of AI in the hiring process, particularly in the assessment phase. Dr. Handler shares his thoughts on reducing friction in hiring, the paradox of AI, and the potential future of assessment with automated inferential assessments and high-fidelity simulations. The conversation explores the challenges and potential of AI adoption and responsible AI practices. Bob and Charles discuss the timeline for mass adoption of AI, the role of AI in simulations and training, the need for policies and governance around AI, and the impact of AI on diversity, equity, and inclusion. They emphasize the importance of understanding the technical aspects of AI and recommend educational resources for building AI literacy. Keywords AI, skills-based hiring, information overload, verification, friction reduction, accuracy, fairness, assessment, inferential assessments, simulations, AI adoption, responsible AI, mass adoption, simulations, training, policies, governance, diversity, equity, inclusion, AI literacy Takeaways Defining skills is crucial in skills-based hiring to ensure a shared understanding of what constitutes a skill. Verification of skills at scale is a challenge in skills-based hiring, and finding a solution for this is essential for accuracy. AI can reduce friction in the hiring process but may come at the cost of accuracy and fairness. Machine learning has been used in ATSs for resume parsing and matching, but there is still room for improvement. The future of assessment may involve automated inferential assessments based on digital exhaust and high-fidelity simulations. Mass adoption of AI may take time, but experimentation and progress are happening. AI can be used in simulations and training, such as military simulations and role-playing scenarios. Policies and governance around AI are necessary to ensure responsible AI practices. AI has the potential to impact diversity, equity, and inclusion in hiring and talent acquisition. Building AI literacy is important for understanding the technical aspects of AI and its implications. Sound Bites "Skills-based hiring is about accuracy and fairness." "There will be a sinkhole in assessment with automated inferential assessments and high-fidelity simulations." "Is AI a fad? This is not crypto. This is here to stay." "The future is people training the agents how to have good competencies." "The baseline of where we are in the moment is still incredible and game-changing." Chapters 00:00 Introduction and Background 03:03 Challenges of Keeping Up with AI and Information Overload 10:40 Skills-Based Hiring and the Half-Life of Skills 21:58 The Value and Risks of AI in the Hiring Process 22:18 AI's Role in Reducing Friction and the Paradox of Accuracy and Fairness 24:47 The Future of Assessment: Automated Inferential Assessments and High-Fidelity Simulations 25:59 The Timeline for Mass Adoption of AI 27:31 AI in Simulations and Training 34:18 The Need for Policies and Governance around AI 43:18 AI's Impact on Diversity, Equity, and Inclusion 48:13 Building AI Literacy Dr. Charles Handler: https://www.linkedin.com/in/drcharleshandler/ Rocket-Hire: http://www.rocket-hire.com Psych Tech @ Work: https://open.spotify.com/show/2euPiLjmRMoce5cvh5S3Jp?si=30050c48046e452d Learn more about your ad choices. Visit megaphone.fm/adchoices
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    50 min
  • Ep 14: Mindset, Skillset, and Toolset for the Evolution of Work with Gary Bolles

    Ep 14: Mindset, Skillset, and Toolset for the Evolution of Work with Gary Bolles
    Aug 29 2024
    Bob has an engaging discussion with Gary Bolles, Chair for the Future of Work at Singularity University, author of the book, “The Next Rules of Work: The Mindset, Skillset and Toolset to Lead Your Organization through Uncertainty”, keynote speaker, lecturer, and many other roles. We talk about his extensive background, including the ‘family business’ and all his endeavors related to human potential, career development, and of course, the future of work. Gary and I discuss the intersection of trends and the potential impact of AI on various industries. We explore the challenges of regulating AI and finding the right balance between innovation and regulation. We hit on the automation maturity curve, and the need for individuals and organizations to adapt and transform in the face of exponential change. Gary emphasizes the importance of mindset and culture in driving successful transformation. The conversation explores the concept of collective intelligence and the combination of human intelligence and AI. We also touch on the importance of asking better questions and the evolving role of leaders in guiding teams. Gary highlights the need for organizations to embrace new models of social cohesion and education systems to empower individual learning. We wrap up with a discussion on the responsible and fair use of AI and the need to develop AI literacy in education. Keywords future of work, AI, trends, regulation, innovation, automation, transformation, mindset, culture, collective intelligence, human intelligence, AI, adaptability, growth, team metrics, cognitive diversity, AIQ, education, AI literacy Takeaways Exponential technologies like AI have the potential to bring both tremendous benefits and concerns. It is crucial to have a proactive approach to regulation and scenario planning to anticipate the impacts of new technologies. Automation is a continuum. Rather than focusing on job displacement, organizations should re-architect job roles and empower humans with technology. Successful transformation requires a growth mindset and a culture of continuous learning and adaptation. AI has the potential to augment collective intelligence by providing insights and sparking new ideas. Leaders should focus on asking better questions and empowering individuals to find solutions. Organizations should embrace new models of social cohesion to leverage collective intelligence. Education systems need to shift towards empowering individual learning and teaching AI literacy. Sound Bites "Exponential technologies often follow an exponential curve and accelerate each other along that curve." "The concern with exponential technologies is that they tend to create outsized players and monocultures." "Automation doesn't replace jobs, it automates tasks. The decision to eliminate jobs is a human decision." "So long as we help them to be able to continually adapt and grow, then you're going to be much more likely to have the organization have that capacity." "We're still in very early days, especially with regenerative AI and large language models." "We will define the organization by its level of social cohesion." Chapters 00:00 Introduction and Background 05:20 Exploring the Intersection of Trends and the Impact of AI 08:52 Finding the Balance Between Innovation and Regulation 16:28 Navigating the Automation Maturity Curve 25:10 The Importance of Mindset and Culture in Transformation 29:08 Adaptability and Growth 31:46 Augmenting Collective Intelligence with AI 35:12 Asking Better Questions for Insights 44:00 Rethinking Organizational Models 51:11 Empowering Individual Learning Gary Bolles: https://www.linkedin.com/in/gbolles The Next Rules of Work: https://www.koganpage.com/general-business-interest/the-next-rules-of-work-9781398601635 LinkedIn Learning: https://www.linkedin.com/learning/instructors/gary-bolles Singularity University: https://su.org Learn more about your ad choices. Visit megaphone.fm/adchoices
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    59 min
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Développement commercial et entrepreneuriat Gestion et leadership Économie
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