Worried about what you should or shouldn’t put into AI tools? In this episode of CubeCast: The Entrepreneur’s Playground, we unpack data, privacy and trust in plain English for small businesses. Instead of legal jargon, you’ll get a clear framework for what’s safe to share, where your data might go, and how to choose AI tools that respect your customers and your business.

We talk through the real risks—like pasting personal or sensitive information into public AI tools, shadow IT inside your team, and vendors being vague about how they train their models. You’ll hear practical guidance shaped by what regulators in Australia, the US and EU are saying: data minimisation, transparency, consent, and why “don’t paste anything you’d be afraid to see on the front page of a newspaper” is still a good rule of thumb.

If you’ve been using AI casually and have a nagging feeling you should tighten things up—or you’ve held back because you’re unsure about privacy—this episode gives you a simple, founder-friendly roadmap to using AI safely without killing the upside.

Sources:

• https://www.oaic.gov.au/privacy/privacy-guidance-for-organisations-and-government-agencies/guidance-on-privacy-and-the-use-of-commercially-available-ai-products
• https://www.bizcover.com.au/ai-and-data-privacy-what-small-businesses-need-to-know/
• https://www.ftc.gov/policy/advocacy-research/tech-at-ftc/2024/01/ai-companies-uphold-your-privacy-confidentiality-commitments
• https://www.nist.gov/itl/ai-risk-management-framework
• https://www.edpb.europa.eu/sme-data-protection-guide/home_en