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محتوای ارائه شده توسط Charles Handler. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Charles Handler یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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Hired by a Hologram? The future of talent evaluation will be wild. With Georgi Yankov, Principal Research Scientist at DDI

55:30
 
اشتراک گذاری
 

Manage episode 399755116 series 2978256
محتوای ارائه شده توسط Charles Handler. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Charles Handler یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
“I really see the technology as a driver of user friendliness of assessment in the future and because people don't have time anymore to sit down for many hours and do writing samples and take personality tests of 300-500 questions.”
-Georgi Yankov
Summary:
In this forward-looking episode of Science 4-Hire, I welcome Georgi Jankov, a fellow IO psychologist and futurist. We take a dive deep into the innovative intersections of AI with psychometric measurement and managerial/executive assessment.
The episode focuses on how AI and machine learning are currently being applied to revamp traditional assessment processes, predicting significant shifts in the landscape of talent evaluation and development.
Georgi and I discuss the transformative potential of AI in making assessments more efficient, personalized, and scalable, highlighting the move towards more interactive and immersive methods, such as the use of holograms for role-plays and simulations in assessment centers.
The conversation also addresses the ethical dimensions of integrating AI into human-centric processes, stressing the importance of balancing technological advances with the intrinsic value of human judgment and empathy. We discuss how we both stand firm in our convictions about the necessity for IO psychologists to adapt and collaborate with AI. Agreeing that, to enhance the quality and reach of assessments, we cannot compromise the personal touch that is crucial to understanding human behavior and potential.
Key Takeaways:
  • Revolutionizing Assessments with AI: AI and machine learning are set to transform the efficiency and scope of psychological assessments, making them more adaptable and insightful.

  • Interactive and Immersive Techniques: Future assessments may utilize holograms and virtual reality, providing richer, more contextual evaluations of candidates.

  • Ethical and Human-Centric Approach: Despite technological advancements, maintaining ethical standards and human empathy remains paramount in assessment processes.

  • Collaboration Between Psychologists and AI: The future of assessments lies in the synergistic collaboration between IO psychologists and AI technologies, leveraging the strengths of each to enhance talent identification and development.

  • Predictive Analytics and Personalization: AI's ability to analyze vast datasets will enable more personalized feedback and developmental insights, tailoring the assessment process to individual needs and potentials.

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit charleshandler.substack.com
  continue reading

92 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 399755116 series 2978256
محتوای ارائه شده توسط Charles Handler. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Charles Handler یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
“I really see the technology as a driver of user friendliness of assessment in the future and because people don't have time anymore to sit down for many hours and do writing samples and take personality tests of 300-500 questions.”
-Georgi Yankov
Summary:
In this forward-looking episode of Science 4-Hire, I welcome Georgi Jankov, a fellow IO psychologist and futurist. We take a dive deep into the innovative intersections of AI with psychometric measurement and managerial/executive assessment.
The episode focuses on how AI and machine learning are currently being applied to revamp traditional assessment processes, predicting significant shifts in the landscape of talent evaluation and development.
Georgi and I discuss the transformative potential of AI in making assessments more efficient, personalized, and scalable, highlighting the move towards more interactive and immersive methods, such as the use of holograms for role-plays and simulations in assessment centers.
The conversation also addresses the ethical dimensions of integrating AI into human-centric processes, stressing the importance of balancing technological advances with the intrinsic value of human judgment and empathy. We discuss how we both stand firm in our convictions about the necessity for IO psychologists to adapt and collaborate with AI. Agreeing that, to enhance the quality and reach of assessments, we cannot compromise the personal touch that is crucial to understanding human behavior and potential.
Key Takeaways:
  • Revolutionizing Assessments with AI: AI and machine learning are set to transform the efficiency and scope of psychological assessments, making them more adaptable and insightful.

  • Interactive and Immersive Techniques: Future assessments may utilize holograms and virtual reality, providing richer, more contextual evaluations of candidates.

  • Ethical and Human-Centric Approach: Despite technological advancements, maintaining ethical standards and human empathy remains paramount in assessment processes.

  • Collaboration Between Psychologists and AI: The future of assessments lies in the synergistic collaboration between IO psychologists and AI technologies, leveraging the strengths of each to enhance talent identification and development.

  • Predictive Analytics and Personalization: AI's ability to analyze vast datasets will enable more personalized feedback and developmental insights, tailoring the assessment process to individual needs and potentials.

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit charleshandler.substack.com
  continue reading

92 قسمت

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