Artificial Intelligence and Law: What every company should understand before implementing AI

In just a few years, artificial intelligence has gone from being a technology reserved for large tech companies to becoming an accessible tool for virtually any organization. Today, it's possible to automate tasks, analyze large volumes of information, generate content, improve customer service, and even support decision-making processes using AI tools.

However, amidst the enthusiasm generated by this technology, there is a common problem: many people talk about artificial intelligence without really understanding what it is, what it can do, and, above all, what its limitations are.

I recently completed the "AI For Everyone" program, taught by Andrew Ng, one of the world's leading experts in artificial intelligence. One of the most important lessons of the course is that AI should not be seen as a magic technology capable of solving any problem. Artificial intelligence works by identifying patterns in large amounts of data to make predictions, classifications, or recommendations. Its performance depends, to a large extent, on the quality of the information it is trained on.

This distinction is important because it helps to dispel one of the biggest myths today: artificial intelligence does not "think" or "reason" like a human being. It can produce impressive results, but it can also make mistakes, reproduce errors present in the data, generate incorrect information, or reach biased conclusions.

This is precisely where some of the most relevant challenges for companies begin.

What happens when an organization uses artificial intelligence to select job candidates? What if an automated system makes decisions that affect customers or employees? Who is held responsible when an AI-based tool produces discriminatory, inaccurate, or illegal results?

These questions no longer belong to the future. They are questions that organizations around the world are facing today.

The conversation about artificial intelligence cannot be limited to technological innovation. It must also include aspects related to privacy, data protection, transparency, accountability, risk management, and regulatory compliance.

From a legal perspective, the adoption of artificial intelligence poses significant challenges:

• Protection of personal data.

• Confidentiality of sensitive information.

• Responsibility for automated decisions.

• Algorithmic biases and discrimination.

• Intellectual property of AI-generated content.

• Regulatory compliance and corporate governance.

• Technology risk management.

Organizations that adopt these technologies without a proper strategy could face significant legal, regulatory, and reputational risks. Conversely, those that integrate artificial intelligence within robust governance and compliance frameworks will be more likely to reap its benefits safely and sustainably.

The reality is that artificial intelligence will not replace businesses or professionals. However, organizations that learn to use it responsibly will likely have significant competitive advantages over those that ignore this transformation.

For that reason, I believe it is essential that lawyers, business owners, human resources professionals, managers, and compliance officers begin to familiarize themselves with these technologies now.

As part of my specialization in artificial intelligence, technology governance, data protection, and regulatory compliance, I am currently continuing my cybersecurity training through Cisco's "Introduction to Cybersecurity" program. Understanding technological risks, digital security challenges, and best practices in risk management will become increasingly important for effectively advising organizations in an increasingly digital business environment.

Artificial intelligence represents one of the most significant transformations of our time. Understanding its capabilities, limitations, and risks is not solely a task for engineers or developers. It is a conversation that also involves law, ethics, corporate governance, and the protection of fundamental rights.

Companies that start preparing today will be in a better position to face the challenges of tomorrow.

Is your company evaluating the implementation of artificial intelligence tools?

The adoption of AI must be analyzed from a technological, operational, and legal perspective. Aspects such as data protection, information confidentiality, regulatory compliance, and risk management can be crucial for successful implementation.

At G Legal we provide preventive legal advice to companies on corporate matters, regulatory compliance, data protection and technology governance.

For more information you can contact us through www.glegalcr.com or WhatsApp 7122-4499.