Season 3 Episode 4: Teaching Machines to Care: Can Algorithms Be Ethical?
In this episode, Ashley unpacks algorithmic fairness, moral responsibility, and the ethics behind AI systems that influence real human lives. She discusses bias, representation, and the urgent need for compassionate engineering. A thoughtful exploration for listeners who want AI to be both powerful and principled.
3 days ago1 min read
Season 3 Episode 3: When Students Learn Faster Than the Algorithm
In this episode, Ashley compares the human brain to machine-learning models and asks a simple question: who adapts faster? She explores neuroplasticity, reinforcement learning, and why students in unpredictable environments outperform algorithms in ways AI still can’t replicate.
3 days ago1 min read
Season 3 Episode 2: How I Learned to Predict the Future (With Only a Model and a Million Assumptions)
In this episode, Ashley breaks down the art and science of prediction. She unpacks forecasting models, uncertainty, training data, and why even the most advanced AI still makes mistakes. Listeners will walk away understanding not only how predictive analytics works, but how to use it to make smarter decisions in real life.
3 days ago1 min read
Season 3 Episode 1: My Favorite Problems Are NP-Hard (Just Like Real Life)
In this episode, Ashley uses computational complexity to explain why some global issues such as poverty, climate resilience, healthcare distribution, seem impossible to solve. She reframes NP-hard problems as opportunities for creativity, approximation, and innovation. An empowering episode for anyone navigating high-difficulty challenges.
3 days ago1 min read
