In this HCI Webinar, I talk with Layla El Khadri about embracing feminine leadership in business. Layla El Khadri knows how to get you to access your awe-inspiring magnetism. She has over a decade of experience guiding women to express their absolute highest potential & embody their magic. Layla is the founder of She Leads, a business that guide women to tap into their feminine power, find their unique gifts & turn them into mission-driven business to create a positive impact in the world. With over ten years of experience as a mentor, a degree in Film making, & a master in Somatic Therapy, Layla's passion for personal transformation has taken her all over the world studying, mastering, and distilling the most potent tools and techniques for self-empowerment. The Art Layla has created has touched millions of women across the globe inspiring them to grow, to connect in sisterhood, and to grow their lives & businesses.

This research explores how open communication regarding AI systems significantly influences employee performance and psychological well-being within hybrid work environments. The research argues that when organizations provide clear insights into algorithmic decision-making, they foster greater leadership trust and boost workers' confidence in their own career progression. Conversely, technological opacity can lead to employee disengagement, anxiety, and a perceived loss of fairness, particularly for remote staff who lack informal information channels. To combat these risks, the research suggests implementing participatory design, literacy programs, and human oversight frameworks to ensure accountability. Ultimately, the study positions AI transparency as a vital strategic tool for building a resilient, proactive workforce in an increasingly automated world.

This research explores how open communication regarding AI systems significantly influences employee performance and psychological well-being within hybrid work environments. The research argues that when organizations provide clear insights into algorithmic decision-making, they foster greater leadership trust and boost workers' confidence in their own career progression. Conversely, technological opacity can lead to employee disengagement, anxiety, and a perceived loss of fairness, particularly for remote staff who lack informal information channels. To combat these risks, the research suggests implementing participatory design, literacy programs, and human oversight frameworks to ensure accountability. Ultimately, the study positions AI transparency as a vital strategic tool for building a resilient, proactive workforce in an increasingly automated world. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This research explores how open communication regarding AI systems significantly influences employee performance and psychological well-being within hybrid work environments. The research argues that when organizations provide clear insights into algorithmic decision-making, they foster greater leadership trust and boost workers' confidence in their own career progression. Conversely, technological opacity can lead to employee disengagement, anxiety, and a perceived loss of fairness, particularly for remote staff who lack informal information channels. To combat these risks, the research suggests implementing participatory design, literacy programs, and human oversight frameworks to ensure accountability. Ultimately, the study positions AI transparency as a vital strategic tool for building a resilient, proactive workforce in an increasingly automated world. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Abstract: Organizations deploying artificial intelligence in hybrid work environments face a critical junction: how transparent communication about AI systems shapes workforce adaptation and performance. This article examines the relationship between organizational AI transparency and three pivotal employee outcomes—trust in leadership, job crafting behaviors, and career self-efficacy—drawing on organizational justice theory, social cognitive frameworks, and emerging research on algorithmic management. Analysis of survey data from 412 hybrid workers across multiple sectors reveals that perceived AI transparency significantly predicts organizational trust (β = 0.67, p ＜ .001) and career self-efficacy (β = 0.29, p ＜ .001), with trust fully mediating the transparency-job crafting relationship. These findings carry immediate practical weight: as algorithmic decision-making becomes embedded in promotion systems, performance evaluation, and workflow allocation, transparent governance emerges not as a compliance exercise but as a strategic lever for workforce resilience and competitive advantage. We synthesize evidence-based approaches to AI transparency, examine organizational exemplars, and outline forward-looking capabilities for sustaining employee agency in increasingly automated work environments. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This research examines the transition from basic AI tools to autonomous agents capable of managing entire research workflows in the social sciences. The research highlights an automation-augmentation paradox, noting that while delegating tasks can increase efficiency, over-reliance risks deskilling researchers and eroding their ability to verify AI-generated results. To mitigate these dangers, the research proposes a strategic mapping of tasks based on their complexity and the level of human judgment required. Furthermore, it advocates for institutional reforms, such as redesigned graduate training and standardized transparency protocols, to ensure academic integrity. Ultimately, the research argues that maintaining human oversight and intellectual diversity is essential as the "jagged frontier" of AI capability continues to expand.

This research examines the transition from basic AI tools to autonomous agents capable of managing entire research workflows in the social sciences. The research highlights an automation-augmentation paradox, noting that while delegating tasks can increase efficiency, over-reliance risks deskilling researchers and eroding their ability to verify AI-generated results. To mitigate these dangers, the research proposes a strategic mapping of tasks based on their complexity and the level of human judgment required. Furthermore, it advocates for institutional reforms, such as redesigned graduate training and standardized transparency protocols, to ensure academic integrity. Ultimately, the research argues that maintaining human oversight and intellectual diversity is essential as the "jagged frontier" of AI capability continues to expand. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This research examines the transition from basic AI tools to autonomous agents capable of managing entire research workflows in the social sciences. The research highlights an automation-augmentation paradox, noting that while delegating tasks can increase efficiency, over-reliance risks deskilling researchers and eroding their ability to verify AI-generated results. To mitigate these dangers, the research proposes a strategic mapping of tasks based on their complexity and the level of human judgment required. Furthermore, it advocates for institutional reforms, such as redesigned graduate training and standardized transparency protocols, to ensure academic integrity. Ultimately, the research argues that maintaining human oversight and intellectual diversity is essential as the "jagged frontier" of AI capability continues to expand. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.