In August 2024, the EU AI Act became law, marking a pivotal shift in global AI regulation. With fines up to €35 million for non-compliance, businesses must adapt to a risk-based framework that prioritizes ethical AI use. This evolving landscape presents both challenges and opportunities across various industries.
A lawsuit has been filed against ChatGPT after it falsely accused Arve Hjalmar Holmen of murdering his children, highlighting concerns over AI-generated misinformation. The case raises critical issues regarding data accuracy, privacy violations under GDPR, and the need for accountability in AI platforms to prevent similar incidents in the future.
Google has unveiled Gemma 3, a collection of open AI models featuring up to 27 billion parameters. Aimed at fostering a transparent AI ecosystem, these models are designed for flexibility and security, allowing developers and researchers to explore generative AI while minimizing biases and misuse.
Google is enhancing its search capabilities with AI through two major updates: improved AI summaries powered by Gemini 2.0 and an experimental “AI Mode.” These advancements aim to transform traditional search experiences, offering faster, higher-quality responses and the ability to handle complex queries more effectively.
WSO2 has integrated AI into its entire software stack, enabling companies to create, manage, and secure intelligent digital products effortlessly. The new AI-native platform supports both low-code and pro-code development, facilitating the seamless incorporation of AI capabilities into applications, while enhancing productivity and reducing time-to-market.
Meta is implementing a new policy requiring advertisers to disclose the use of AI in political ads ahead of Canada’s federal elections. This initiative aims to enhance transparency and combat misinformation by ensuring voters are aware of any digital modifications to campaign content, fostering trust in the electoral process.
A California working group, led by Fei-Fei Li, urges lawmakers to consider both current and potential future risks of artificial intelligence in regulatory frameworks. The report emphasizes the need for transparency in AI development and advocates for third-party reviews and enhanced whistleblower protections to ensure safety and accountability.
A recent measure evaluated in Puerto Rico aims to modernize government services by developing application programming interfaces (APIs). The initiative seeks to enhance efficiency, ensure data protection, and create a unique digital identity system for taxpayers, ultimately improving accessibility and transparency in government interactions with citizens.
Google’s recent update to its AI model, Gemini 2.0 Flash, allows for the removal of watermarks from AI-generated images. Nezar Patria, Indonesia’s Deputy Minister of Communication and Digital, emphasizes the importance of transparency and accountability in AI usage, highlighting ongoing discussions about copyright and data management.
In today’s AI-driven job market, specialized talent is in high demand. Key skills include machine learning, data engineering, and a rare combination of AI and cybersecurity expertise. Strong communication and emotional intelligence are also essential for success. Align your skill development strategy with these trends to thrive in this evolving landscape.
