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  • Playbook on responsible generative AI development and use
    The team conducted interviews with 25 US-based product managers and a survey of more than 300 global product managers across a variety of companies that offer generative AI products – and use them internally – to better understand current challenges faced while implementing responsible AI practices in both product development and product usage
  • The current state of AI, according to Stanfords AI Index | World . . .
    Artificial intelligence’s (AI) influence on society has never been more pronounced Since ChatGPT became a ubiquitous feature on computer desktops in late 2022, the rapid development and deployment of generative AI and large language model (LLM) tools have started to transform industries and show the potential to touch many aspects of modern life
  • How immersive technology, blockchain and AI are converging
    In the financial sector, particularly in fraud detection and risk management, AI models can analyze vast amounts of transaction data to identify potential fraud, while blockchain provides a secure and immutable record This pairing enhances the trustworthiness of decisions made by AI, improves accuracy and boosts confidence in automated systems
  • Why open-source is crucial for responsible AI development
    At the heart of regulation is the need for a unified approach to responsible AI development and deployment Just as AI models must be trained on diverse datasets to ensure fairness, a wide range of technologists must be involved in regulatory conversations to ensure that regulation is developed without bias
  • How AI can transform education for students and teachers | World . . .
    By automating routine administrative tasks, AI could help streamline teacher workflows, giving them more time to build relationships with students and foster their learning and development Technology can help teachers reallocate 20-30% of their time toward activities that support student learning
  • Chinas approach to data and AI is changing. Heres how | World . . .
    The small word change means the profound development of China’s digital economy, which provides an important case study for all emerging markets seeking an AI revolution of their own Late 2023 China officially inaugurated the National Data Administration (NDA ), a national bureau dedicated to data-centered economic development and market
  • AI agents: a new cybercrime frontier business must confront
    Verizon’s 2025 Data Breach Investigations Report indicated that "AI-assisted malicious emails doubled (from 5-ish% to 10-ish%) over the past two years", underscoring the need for proactive defenses Considering the legacy vulnerabilities and the variety of ways attackers can exploit them – such as outdated systems, weak credentials and
  • How to cut the environmental impact of your companys AI use
    As AI workloads expand, so do their power demands The World Bank estimates that AI’s wider industry category of information and communications technology currently generates at least 1 7% of global emissions While this percentage may seem modest, current figures only reflect today’s reported AI usage and not tomorrow’s actual consumption
  • 4 ways AI is revolutionising the construction industry
    Teaming AI software with hardware To further utilise these tools, innovative construction companies combine AI software with hardware Pairing data collected by common sensors with powerful AI analysis, site leaders serve real-time insights that enable them to optimise projects in radical ways
  • A short history of AI in 10 landmark moments | World Economic Forum
    Between these rough dates, the world experienced lulls in AI funding, research and development often referred to as AI winters There were still some significant developments, however, including a program called TD-Gammon that in 1992 learned to play the board game backgammon at a level that was just below the top players of the time





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