AI

Recipe for AI: Governments see the need for regulation and benchmarking – Opinion News

By SP Kochhar

Artificial intelligence (AI) stands at the crossroads of innovation and ethics, presenting both transformative benefits and profound challenges. This dual nature of AI necessitates comprehensive regulation and responsible deployment, as we prepare to integrate it into every facet of society — from healthcare and education to security and finance. AI’s potential to enhance our lives is undoubtedly immense. It improves industry efficiency, optimises business operations, and contributes to environmental conservation by monitoring biodiversity and predicting climate change impacts. By processing vast data sets quickly, AI unlocks new knowledge and drives innovations previously beyond our reach. However, this data also poses significant risks, from breaches of confidentiality to identity theft and beyond.

The advent of deepfakes and AI-based impersonation illustrates these dangers vividly. These technologies, which manipulate audio and visual content with disturbing accuracy, can be used to commit fraud, spread misinformation, and manipulate public opinion, threatening individual privacy and societal trust by undermining the fabric of factual consensus. Furthermore, AI’s role in perpetuating societal biases, due to algorithmic prejudices, poses a stark challenge to fairness and equity.

short article insert Governments worldwide are increasingly recognising the need to address AI challenges and are implementing a range of strategies and regulations. The European Union (EU) leads with comprehensive AI regulations focusing on high-risk applications, transparency, and safety. Similarly, the USA emphasises accountability and the protection of civil liberties in its AI guidelines. In Asia, China and Singapore are developing AI governance frameworks balancing innovation with security and public welfare. These efforts involve cross-sectoral collaboration with academia, industry leaders, and international bodies to create holistic and effective AI policies. Many institutions and industry bodies have also developed ethical guidelines for AI. For example, the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems provides a comprehensive framework for ethical considerations in AI development and deployment, while the AI Ethics Guidelines by the European Commission aim to protect individuals’ rights and ensure responsible AI deployment.

While effective regulation is crucial for safeguarding privacy, ensuring data security, and fostering fairness by setting standards for algorithmic transparency and data quality, there are challenges which include regulating AI’s rapid development pace and global applications.

AI technologies often transcend national boundaries, operating across multiple countries and complicating the establishment of uniform regulatory standards, as different nations have varying priorities, values, and legal frameworks. Internationally, different priorities and legal frameworks influence AI regulation. The EU, for instance, emphasises strict data privacy through its General Data Protection Regulation, while other regions focus more on innovation and economic competitiveness. Additionally, the rapid pace of AI development often outstrips slower legislative processes, making it difficult for laws to keep up with technological advancements. This disparity necessitates international cooperation to harmonise regulations and establish a consensus on fundamental principles, leading to regulations that provide clear guidance while respecting each nation’s sovereignty.

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Beyond regulation, standardisation of AI practices and technologies ensure safety, interoperability, and trust. Common standards enable effective communication across different AI systems and platforms, enhancing global integration and operational efficiency. They address ethical issues such as data privacy, bias mitigation, and transparency, building trust among users and stakeholders. For instance, standardised AI protocols in surveillance can balance security needs with individual privacy rights.

Standardisation also extends into the realm of content moderation and fraud detection, where uniform AI applications can improve the detection and handling of harmful or illegal content and financial fraud. Standardised AI systems can more consistently and transparently determine what constitutes harmful or illegal content across different platforms, reducing bias and errors. In fraud detection, standard protocols can enable the seamless sharing of threat intelligence across financial institutions, improving fraud detection and response. Moreover, in combating deepfakes, standardised detection tools are imperative for effective identification and mitigation.

Standardisation can significantly enhance the monetisation of AI technologies as well, particularly through application programming interface (API) and devices. By establishing common standards for AI APIs, developers can ensure compatibility across platforms and systems, making it easier to integrate and sell their services in a broader market. This uniformity reduces costs and increasing scalability. For devices, standardisation allows AI to be easily embedded into a wide range of products, from smartphones to home appliances, facilitating widespread adoption. This creates a cohesive ecosystem making AI applications more accessible and appealing to a larger audience, driving greater adoption and enhancing the overall value of AI investments.

As we look to integrate AI more deeply into our society, lessons from past technological integrations must guide us. Responsible implementation, adaptability, public engagement, and proactive measures are essential. These strategies not only foster inclusivity and trust, but also ensure that AI’s benefits are broadly shared while minimising its potential harms.

AI embodies a powerful tool — one that holds immense promise for advancing human welfare but also poses significant risks. Balancing these aspects requires a multifaceted approach involving robust regulation, international cooperation, and rigorous standardisation. Thoughtful stewardship is essential to harness AI’s full potential while safeguarding our societal values and individual rights, ensuring it benefits all.

The author serves as the Director General of the Cellular Operators Association of India.

Disclaimer: Views expressed are personal and do not reflect the official position or policy of FinancialExpress.com Reproducing this content without permission is prohibited.


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