CRISPR and the ethical debate over accelerated science

In November 2018, scientist He Jiankui announced the birth of the first babies with genes edited using CRISPR. The news shook the world: for the first time, a tool capable of rewriting human DNA had been used without scientific consensus, without a clear legal framework, and without the scrutiny that a decision of that magnitude demands. The community reacted harshly, not because the technology didn’t work, but because it had run faster than ethics and society could keep up with.

That episode left a lesson that goes beyond biology. The underlying question wasn’t “can we do it?” but “should we, and under what rules?” For any company adopting automation or artificial intelligence today, the parallel is direct: the speed of technology almost always outpaces that of our internal rules. And when that happens, ethical judgment stops being an ornament and becomes part of the design.

Speed isn’t the problem; the lack of judgment is

Innovating fast is a real competitive advantage. The problem appears when the rush swallows the questions we should ask ourselves before turning a system on. In the case of CRISPR, there was a lack of transparency, review, and consent. In a Mexican small business that automates processes or integrates AI, the risks are more modest, but just as real: opaque decisions, poorly guarded data, results that no one can explain.

The good news is that judgment can be built. It’s not about slowing down innovation, but about giving it a structure that makes it sustainable. Custom software allows exactly that: defining from the start what data is used, who sees it, and how decisions are made.

Questions to ask before turning a system on

Before automating a process or adding AI to your operation, it’s worth pausing on a few key points:

• What data does it use, and where does it come from? Knowing the origin and quality of the information avoids decisions based on fragile assumptions.
• Who is responsible for the outcome? Every automated decision needs a human owner who can review and correct it.
• Can it be explained? If a system makes a decision that affects a customer or an employee, you must be able to explain why.
• Does it respect privacy and the law? Handling personal data has rules; complying with them protects your company and your customers.
• Is it reversible? Starting with something you can adjust or shut down reduces the cost of getting it wrong.

These questions don’t slow down progress; they organize it. And organizing is what separates a risky experiment from an improvement that lasts.

Innovating with judgment also protects your business

Looking after ethics and legality isn’t just a matter of principles: it’s a way to reduce risk. A system that respects your data, your processes, and your history is more trustworthy, easier to audit, and more resistant to regulatory changes. It also generates something hard to buy: the trust of your customers and your team.

Mature technology isn’t the one that moves fastest, but the one that knows where it’s going and why.

When you build on a clear foundation, each new feature leans on the previous one instead of improvising. That way, innovation stops being a gamble and becomes a process with reliable information behind it.

Adopt AI without losing your way

If your company wants to adopt automation or AI without repeating the mistake of running without a compass, these steps help:

• Start small. Choose a specific process, define what you’re going to improve, and how you’ll measure it. It’s easier to evaluate the impact and correct course.
• Keep control of your data. Custom software lets you keep your data, processes, and history under your rules, not those of an outside platform.
• Always leave a human at the wheel. Technology proposes; people decide. Define who reviews and approves.
• Document decisions. Recording why the system does what it does makes it easier to explain, audit, and improve.
• Grow in stages. Validate a first result, learn from it, and then expand. Trust is built step by step.

The CRISPR case reminded us that accelerated science without judgment ends up generating distrust. The same happens in business. The advantage isn’t in being the fastest, but in moving forward with clarity, with reliable data, and with the peace of mind that every decision can be explained and defended. If you want to adopt automation or AI with that judgment from day one, at Normandia Web we can design it with you: technology that helps you grow without losing your way. Let’s talk about your first process.