It is very likely that in recent weeks, for professional or personal reasons, we have felt alluded to the avalanche of information that has appeared in the media and social networks about the giant steps that are being made in the development of artificial intelligence (AI) technology.
Above all, for the impressive presentation made by the company OpenAI of its GPT3 chatbot, a content generator capable of answering questions on any topic (for now only events before 2021), scheduling, assisting, recommending, creating, etc. Microsoft's projects to give voice to any text by imitating any human voice, Vall-e, or Midjourney's to create images and illustrations from a text description have also emerged. Obviously, there have immediately been enthusiastic supporters and alarmed detractors, especially in the field of artistic creation, but also in education and, in general, in many sectors that sense that the future may be radically disruptive in their daily tasks. A machine will be able to do everything, so what will this or that other job be good for?
We will look at the topic at hand. Such an appearance with such information handling must, of course, impact the management of data protection. Without being able to be very specific yet, as everything remains to be seen, one example of how AI can put data protection at risk in a company is through the use of facial recognition systems, now fashionable. If a company uses facial recognition technology to identify customers in a store or at an event, it is likely to collect and store personal information, such as images of customers' faces. Another example is the use of AI in the analysis of customer data. If a company uses AI to analyze customer data in order to improve its products and services, it is likely to process a large amount of personal information, such as purchase data, browsing history and customer preferences. If this information is not adequately protected, it could be vulnerable to cyber attacks, which could expose personal data to a risk of identity theft or fraud. In addition, AI could also process this information in an automated manner, which could generate unwanted or discriminatory decisions.
In both cases, it is important that companies take measures to ensure data security and privacy, such as data encryption, risk assessment, continuous monitoring of AI systems and employee training on ethical use and data security. In conclusion, we will be in a continuous process of learning and improvement because, and we already knew this, technology is always a few steps ahead of our processes and routines.
