Data and artificial intelligence (AI) have transformed how we work, connect, and make decisions. But with great power comes great responsibility and sometimes, the temptation to cross the line between innovation and intrusion.
In the latest episode of our podcast, Sara Newman and Scott Sammons dive deep into the world of data ethics, AI accountability, and what it really means to “not be creepy” when handling people’s data. It’s an honest, insightful conversation about doing the right thing in an era where technology moves faster than our moral compass sometimes can.
The Fine Line Between Innovation and Intrusion
Most organisations want to use data to make smarter decisions, improve services, and create value for customers. But ethical considerations are often left behind in the rush to innovate.
It’s time to explore questions like:
Where does useful personalisation end and manipulation begin?
How do we build trust when data collection feels invisible or invasive?
And who’s responsible when AI makes decisions we can’t fully explain?
The discussion sheds light on how easy it is for good intentions to turn “creepy” when transparency, consent, or empathy are missing from the process.
AI, Bias, and the Human Touch
AI brings enormous potential but also new ethical dilemmas. Bias in training data, opaque algorithms, and automated decision-making can have real consequences for individuals and communities.
We need to unpack what responsible AI looks like in practice - from diverse data sets and explainable models to clear governance and cultural awareness. Our message is simple: technology doesn’t have ethics, people do (should).
Listen Now
This episode is a must-listen for anyone working in data, AI, or digital transformation - or anyone curious about how we can innovate responsibly in a connected world.
🎧 Listen now: https://theiglighthouse.podbean.com/e/episode-7-sara-newman-data-ethics-ai-and-how-not-to-be-creepy/
