With a new year of The AI+HI Project upon us, we’re taking a look back at our most-read articles since the launch of this flagship. Our top 10 list highlights the wide range of thought leadership from our executive in residence for AI+HI, Nichol Bradford—all to help you make the best of artificial intelligence and human ingenuity work for your business.
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AI Transformation: A Human-Centered Approach to Unlocking Organizational Value
As AI transforms our landscape, one factor has emerged as being more crucial than ever: trust. Explore its multifaceted role—from leadership to self-belief—and why cultivating trust might be our best defense against workplace misinformation. READ MORE.
The ROI Honeymoon Is Over: AI Must Now Prove Its Worth
Early AI adopters could afford to test the waters, but the current climate demands that businesses begin proving the value of their AI initiatives through increased productivity and/or revenue growth. As AI transitions from a buzzword to a business imperative, many organizations are realizing the operational and cultural shifts needed to scale AI successfully. READ MORE.
Transforming Work: Gartner’s AI Predictions Through 2029
Gartner expert Daryl Plummer outlines AI predictions—from flattening hierarchies to managing digital personas. Plummer urges HR leaders to balance tech innovation with human-focused strategies. READ MORE.
The HR Revolution: Parenting AI and Shaping the Future of Work
Machine learning pioneer De Kai Wu introduces a revolutionary perspective: Treat AI tools as child prodigies who need guidance. Wu explains why taking a parental approach to working with AI systems is crucial for ethical integration. Discover how to shape AI’s development and prepare for transformative impact with strategies that mirror how parents nurture their kids. READ MORE.
The Future of Learning & Development: Adapting to an AI-Powered Evolution
AI is revolutionizing corporate training through personalized learning experiences, rapid content creation, and the redefinition of learning and development professionals’ roles. READ MORE.
Navigating the AI Landscape: Is Culture the Key to Success?
Culture may very well be the best tool we have to ensure success with AI—but it turns out we haven’t yet figured out how to leverage it effectively. Explore how trust, leadership, and culture are vital for transforming AI success from individual wins to enterprise-level gains. READ MORE.
Why Diversity in AI Makes Better AI for All: The Case for Inclusivity and Innovation
Discover insights shared at 2024’s Fem.AI summit from Cadence’s Anirudh Devgan, Girls Who Code’s Reshma Saujani, Salesforce’s Paula Goldman, and others on how diverse teams reduce bias, foster innovation, and build trust in AI systems. READ MORE.
AI’s Disruption of Entry-Level Work: What HR Leaders Need to Know
As AI automates “grunt work,” the traditional exchange of routine tasks for mentorship is vanishing. Learn how HR leaders must rebuild the novice-expert bridge and create new pathways for professional growth in an AI-driven workplace. READ MORE.
Nowhere to Hide: Lessons from 2 Years of Hype and Hope
Two years into the AI revolution, implementation challenges persist. Despite technological advancements, success hinges on human factors. Learn why AI adoption is a social, cultural, and behavioral transformation, not just a tech upgrade. READ MORE.
Prioritize Human Factors: The Hidden Key to AI Project Success
With 80% of AI projects failing, largely due to human factors, HR must lead the charge toward improvement. Discover why soft skills, management, and leadership are essential for AI success. Learn strategies to bridge technical-business gaps and prepare for AI’s gradual-yet-transformative impact. READ MORE.
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