The emergence of the Chinese AI app DeepSeek is prompting EU policymakers to consider amendments to the EU AI Act, particularly regarding the threshold measures of computing power for general-purpose AI models. This could significantly impact how various GPAI models are regulated, especially those classified as having ‘systemic risk’.
The article discusses the varying approaches to regulating AI development across different countries, highlighting the differences between the United States, European Union, and the United Kingdom. It emphasizes the need for international cooperation to establish baseline standards that address key AI-related risks while fostering innovation.
This article discusses how Data Engineering teams can transform from being bottlenecks to strategic enablers of AI by implementing collaborative frameworks and governance. By fostering partnerships with business units, DE teams empower organizations to build trustworthy and scalable AI solutions efficiently.
Artificial intelligence (AI) is becoming increasingly integrated into business and social life, offering significant potential while also raising substantial risks such as algorithmic bias and privacy concerns. As regulatory bodies like the European Union work to establish frameworks for AI liability, organizations must navigate the complexities of legal responsibilities associated with AI systems.
An inquiry by the Irish Data Protection Commission (DPC) serves as a reminder for companies using artificial intelligence (AI) tools to comply with General Data Protection Regulations (GDPR). The investigation focuses on the processing of personal data from EU users by X (formerly Twitter) for training AI models, emphasizing the need for lawful and transparent data processing practices.
April 2025 marks the implementation phase of the EU AI Act, the world’s first comprehensive regulation of artificial intelligence, which classifies AI systems into four risk tiers. While some view it as a triumph of European values, others see it as a potential hindrance to innovation in the tech industry.
In the evolving landscape of technology regulation, India is carving out its unique path, focusing on societal benefits while navigating the complexities of AI governance. With initiatives like the National Strategy for AI and a commitment to ethical practices, India aims to position itself as a significant player in the global tech arena.
In the early 2020s, artificial intelligence showcased remarkable capabilities, prompting concerns about the transparency of its decision-making processes. As we enter 2024, the focus has shifted to Explainable AI (XAI), emphasizing the necessity of understanding the reasons behind AI’s actions, especially in high-stakes domains like healthcare and finance.
The European Union has launched the AI Continent Action Plan to enhance its artificial intelligence capabilities by focusing on five key pillars, including building AI computing infrastructure and increasing access to quality data. The plan aims to foster innovation across various sectors and includes public consultations to gather input on related legislative acts.
The European Commission’s AI Continent Action Plan aims to enhance AI capabilities across the EU by focusing on infrastructure development, data access, and responsible regulation. However, significant gaps in privacy and compliance rules, particularly concerning the AI Act and GDPR, pose challenges for effective implementation.
