By Enio Moraes | CIO at Semantix
To As Artificial Intelligence (AI) continues to advance, the need for regulation in this area has become increasingly apparent. The technology in question has the potential to provide many benefits to society, but it also raises significant ethical and social concerns.
One of the main challenges for standardization is the speed with which technology is advancing. As a result, it can be difficult for regulators to keep up with the latest developments. This means that the bylaws may be out of date by the time they are put into practice or may not be able to adequately address the complex social issues that surround it.
Another challenge is the global nature of the technology. AI is being developed and used by companies and organizations around the world. Thus, it is difficult to establish a single set of regulations that apply to all these entities, which can create a patchwork of different guidelines, difficult for companies to navigate, and lead to inconsistencies and gaps in coverage.
One approach that has gained traction in recent years is the idea of “responsible AI”. This vision focuses on its ethical use and emphasizes the need for transparency, accountability and fairness in the development and deployment of AI systems.
Another area of focus for its standardization is the use of AI in sensitive areas such as healthcare, finance and criminal justice. The consequences of errors or biases in systems can be significant, so it is important to ensure that it is used responsibly. Rules in these areas could focus on ensuring the accuracy and fairness of systems, as well as protecting individuals’ privacy and data.
The future of standardization of this technology is likely to be complex and evolving. It is important for regulators to keep abreast of the latest developments and address the surrounding ethical and social concerns, which will require a combination of global cooperation and coordination, as well as a focus on responsible AI and protecting sensitive areas.
