There are many arguments that are proposed against the imposition of excessive organization on artificial intelligence – and some even reject the idea of organization at all.
Innovation and progress: Artificial intelligence is a field that develops rapidly and has enormous capabilities in innovation and progress. Excessive organization may hinder this development by creating barriers and obstacles in front of developers and institutions. While the flexible environment can allow artificial intelligence to continue to progress and provide innovative solutions to societal challenges.
– The ability to adapt and flexibility: Given that artificial intelligence techniques develop at a rapid pace, imposing strict organizations may limit their ability to adapt. Artificial intelligence systems require flexibility to learn from new data, and their algorithms are modified accordingly. Strong regulation may hinder the ability to respond to the rapid response to emerging needs or properly proceeding with time, which slows down the development and application of useful artificial intelligence systems.
Organizational burden: Imposing a comprehensive organization of artificial intelligence may constitute a great burden on companies, especially small and medium -sized companies that may lack resources or experiences necessary to comply. Strict organization can lead to increased costs and create barriers to entering the market, which restricts the participation of young players in the artificial intelligence system.
International competitiveness: Excessive organization may have negative consequences for the competitiveness of countries at the global level. If a state imposes strict organizations while other countries adopt a more flexible approach, this may weaken local companies and reduce the state’s attractiveness to foreign investments.
Unintended consequences: Many economists warn of hyperactivity and unexpected consequences. The organization not only hinders creativity, but it may – unintentionally lead – to prefer specific methodologies or companies at the expense of another. The excessive organization of experimentation may also be inhibited, and it is the same factors that prompted the wheel of progress in this field from the beginning.
– Finding balance: Many believe that the solution lies in adopting a balanced approach in organizing artificial intelligence; A approach that enables us to take advantage of the advantages of artificial intelligence, while working responsibly to reduce its grave risks – as much as it can be predicted. This is the balance called by Elon Musk, Sam Altman, Cristina Montgomery, and many others, in various forms.
For example, the regulation can focus on high -risk artificial intelligence systems, which may have a broad -scale negative impact, while maintaining more flexible regulation of low -risk applications and systems developed by small and medium -sized companies.
Moreover, the organization should be designed in a way that encourages innovation and competition, while ensuring that companies are held accountable for the risks associated with their systems. The European Union, for example, made steps in this direction, by focusing on justifying the use of artificial intelligence, and transparency in the sources of data used.
The balanced approach can also include cooperation between decision makers, the business sector, and civil society. The legislators can work with companies to develop moral guidelines and best practices to develop and use artificial intelligence. Companies can contribute to providing visions on possible benefits and risks, and helping to formulate and apply appropriate organizations.
