5 steps to safely apply generative AI

The presence of ChatGPT and other advances in the field of generative AI is transforming the business scenario, taking automation and efficiency to unimaginable levels. This is allowing machines, for the first time, to be computationally creative, generating meaningful and valuable content on demand. And the power, broad adaptability and easy accessibility of this technology means that every business, in every sector, will experience a significant impact.

However, with great power comes great responsibility. Juan Pablo Chemes, Director of Innovation at Accenture Argentina, points out that some critical areas of attention when considering cybersecurity for generative AI include data and IP leaks and theft, malicious content, high-speed selective contextual attacks, orchestration of generative technologies for its misuse, disinformation at scale, copyright infringement, and amplification of existing prejudices and discrimination.

“Organizations must be aware of the risks and be prepared to face them, which requires a well-planned and executed security strategy from the beginning,” warns the executive.

Below are five essential steps to ensure safe and efficient use of generative AI in the corporate world:

1. Trusted Environment: Organizations must ensure adequate protection of their intellectual property and other sensitive data, which can be achieved through the creation of customized interfaces that reduce the risk of leaks. Implementing “sandboxing” systems is also crucial, allowing data to flow in an isolated environment, minimizing vulnerabilities and strengthening data security.

2. Proactive Training: The enthusiasm for generative AI is evident, but it is imperative that it is backed by solid education. Organizations must develop training programs that not only teach how to use these tools, but also the implications of their incorrect use and the possible associated risks. This strategy must be continuous, adapting to evolutions and updates in the field of AI.

3. Total Transparency: The heart of generative AI is the data it is fed, and in this sense, organizations must be transparent about how this information is acquired, processed and used. This means being clear about potential biases in acquisition sources and measures taken to ensure the integrity of each data and user. Transparent AI generates trust, both internally in the organization and with its clients and stakeholders.

4. Human + AI Integration: No matter how advanced a machine is, the human perspective is still invaluable. Incorporating a “human in the loop” ensures additional control, adding a layer of review and common sense. This combination of artificial and human intelligence can mitigate risks and provide more balanced and fair responses.

5. Anticipation and Adaptation: Cyber ​​threats are fluid, and companies must stay one step ahead, prepared for attacks that seek to corrupt or manipulate their AI systems, and have protocols in place to detect and counter such risks. Being informed about emerging trends in cybersecurity and adapting the company's infrastructure accordingly is essential.

“Generative AI has enormous potential to transform business operations, but only if implemented responsibly and safely. By following these five steps, organizations can not only protect themselves and their customers, but also ensure that the promise of generative AI is fully and safely realized,” concludes Accenture Argentina Chief Innovation Officer, Juan Pablo Chemes.