In today’s fast faced world, Artificial Intelligence (AI) has the potential to impact various aspects of society, including privacy, security, and individual rights. To ensure a human-centric and ethical development of AI in Europe, MEPs recently endorsed new transparency and risk-management rules for new AI legislation.
AI Complexity
AI algorithms can be complex and opaque, making it difficult to understand how they make decisions. Legislation could request more transparency in AI systems, ensuring that individuals or organisations using AI are accountable for the outcomes and can explain the reasoning behind AI-driven decisions. It often relies on large amounts of data, including personal information. Legislation could establish rules and regulations to protect individuals’ privacy rights, govern data collection and usage, and ultimately provide safeguards against potential abuses or unauthorised access.
The growing use of AI
AI algorithms are increasingly used in consumer-facing applications, such as personalised recommendations, targeted advertising, and credit scoring. Legislation could mandate transparency in these algorithms, enabling consumers to understand how their data is being used. This would then empower them to make informed choices about their interactions with AI-powered systems. Systems powered by AI can currently inadvertently reflect and perpetuate biases present in the data they are trained on, leading to discriminatory outcomes. Legislation could address issues of bias and promote fairness by setting standards and guidelines for fair AI development and deployment.
The Future of AI
AI raises complex questions related to governance, accountability, and the responsible use of technology. International cooperations on this growing subject will help establish frameworks for global governance, ensuring that AI technologies are developed and deployed in line with common values and principles. Legislation could empower regulatory bodies to establish technical standards, certification processes, and quality assurance mechanisms for AI systems.
All of these measures will help ensure the reliability, interoperability, and safety of integrated AI technologies. Regulatory bodies can develop guidelines and certification programs that promote best practices and encourage responsible AI development and use.
The EU are the first main candidates to push for standard legislation in AI and took a big step forward recently. Click the link below to view the article.
