What Companies Should Do to Earn Your Trust in the AI Era: A Privacy Checklist

What Companies Should Do to Earn Your Trust in the AI Era: A Privacy Checklist

Intro

By now, most of us have used an AI-powered tool without knowing exactly what it does with our data. Whether it’s a chatbot on a retailer’s site, a photo-editing feature in your phone, or a smart assistant at home, artificial intelligence is woven into everyday products. But the more AI spreads, the more people worry about how their personal information is collected, stored, and used. Trust in these systems is fragile, and rightfully so.

A recent report from Telefónica, a major telecom company, outlines how businesses can build that trust. While the guidance is written from a corporate perspective, it gives consumers a clear benchmark for what they should expect from any company using AI. This article translates that into a practical checklist you can use when deciding whether to trust an AI-powered service.

What happened

In late June 2026, Telefónica published “Artificial Intelligence and data privacy: How companies can build digital trust in the AI era.” The report argues that as AI becomes more embedded in products, companies must go beyond basic legal compliance to earn user confidence. It focuses on four pillars: transparency, consent and control, security, and accountability. The timing is no coincidence—AI adoption is accelerating, and so are concerns about data misuse. Telefónica joins a growing number of firms (Microsoft, for example, has published similar guidance on AI ROI and compliance) that recognize trust is a business necessity, not just a regulatory checkbox.

Why it matters

For consumers, the problem is simple: you often have no idea what an AI tool does with your information. Companies may train models on your chat logs, purchase history, or even voice recordings, and they don’t always explain it clearly. Unlike older software, AI systems can infer sensitive details you never directly provided. And once data is used to train a model, it’s hard to remove.

This lack of transparency erodes trust. Surveys consistently show that people are more likely to abandon a service if they feel their data is mishandled. Yet many companies still treat privacy as an afterthought. That’s where a simple, actionable framework helps. By knowing what responsible companies should be doing, you can separate trustworthy services from those that are cutting corners.

What readers can do: A five-question checklist

Before you sign up for or continue using any AI-powered product, ask these five questions. If the company cannot answer them clearly, consider that a red flag.

1. Do they explain what data is collected and why?
Look for a plain-language privacy notice or an AI-specific explainer. It should say exactly which data points are fed into the AI (text, images, location, etc.) and what the AI does with them—like improving recommendations, training new models, or sharing with third parties. If the language is vague or buried in legalese, that’s a warning.

2. Can you easily opt out or delete your data?
Meaningful consent means you can say no without losing basic functionality. Check whether you can disable AI features or request deletion of your data used for training. The company should honor those requests promptly, not make you jump through hoops.

3. How is your data protected during and after AI processing?
Ask about encryption (both in transit and at rest), access controls, and whether your data is anonymized before training. If the company can’t provide a straightforward answer about security measures, your data may be at risk.

4. Is there a way to question or correct AI decisions?
If the AI makes a mistake—say, denying you a service or flagging your account incorrectly—you need a human to appeal. Accountability means having a clear process for redress. The company should tell you how to contact a person who can review the AI’s output.

5. Do they undergo independent audits or publish transparency reports?
Third-party audits are the gold standard. Some companies now publish regular reports on how they handle AI, data requests, and privacy incidents. If a company won’t submit to outside scrutiny, you cannot fully trust its claims.

Sources

• Telefónica. “Artificial Intelligence and data privacy: How companies can build digital trust in the AI era.” June 29, 2026.
• Telefónica. “Artificial intelligence in compliance.” June 25, 2026.
• Microsoft. “MWC 2026: Microsoft Helps Telecoms Realize AI ROI.” February 24, 2026.

No checklist is perfect, and practices vary by industry and jurisdiction. But if a company meets at least three of these five criteria, you can be reasonably confident they take your privacy seriously. The rest? You might want to think twice before handing over your data.