Low and High Quality AI: What's the Difference?

When we talk about "low-quality AI," we're referring to AI systems that are less sophisticated, less accurate, or more limited in their capabilities. These systems, interestingly, can sometimes lead to more critical and independent thinking from users.

driving data projectsChristine HaskellJuly 12, 2024artificial augmentation, AI, productive friction, human skills, low quality ai, high quality aiComment

The Double-Edged Sword of AI in Education and Work: Lessons from the Frontlines

As adjunct faculty, I get a front-row seat to the AI revolution in education and the workplace. What I've observed is both exciting and concerning, a paradox that we must navigate carefully as think about our future work.

driving data projectsChristine HaskellJuly 11, 2024higher education, ai in education, ai, continuous improvement, continuous learning, AI-Augmented Tasks, Human-Centric Tasks, Collaborative Tasks, human intelligence, human ksills, human skillls, future of workComment

Data Storytelling: Transforming Insights into Action With 2 Case Studies

The ability to craft compelling narratives from complex information is a superpower. Working with graduate students across various sectors, I help communicate how effective storytelling can bridge the gap between data teams and business leaders. Let's explore how to master this art and avoid common pitfalls.