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Harshal Duddalwar argues human emotion remains vital in age of automation
Harshal Duddalwar, a New York-based designer and art director, discusses the evolving role of designers amidst the integration of artificial intelligence. He asserts that while AI increases efficiency, it cannot replicate human empathy, lived experience, or critical judgment. Duddalwar, who works with clients including The New York Times and Pentagram, emphasises that the value of design now lies in human perspective, intent, and emotional resonance rather than technical execution. He warns against dependency on automation, which can lead to generic work, and advocates for designers to act as curators who maintain critical oversight to ensure work remains grounded and distinct.
Academy of Motion Picture Arts and Sciences requires human performance for Oscar eligibility
The Academy of Motion Picture Arts and Sciences has updated its rules to mandate that acting categories only consider roles demonstrably performed by consenting humans. Screenplay categories now require human authorship. While AI use in visual effects remains permissible, the Academy retains the right to request details on AI usage and human authorship for any project involving generative AI. This decision addresses growing concerns over AI recreations of deceased actors and fully AI-generated scripts in independent cinema.
OpenAI ends exclusive Microsoft partnership to expand to Google and Amazon
OpenAI has terminated its exclusive agreement with Microsoft, allowing its artificial intelligence models to be deployed on cloud platforms of competitors including Google and Amazon. This strategic shift ends Microsoft's sole access to OpenAI's models. Following the announcement, Microsoft's stock fell by approximately one percent as investors viewed the move as a potential loss of competitive advantage in the AI sector. Under the new arrangement, OpenAI products will primarily remain on Microsoft's Azure platform unless specific functional requirements necessitate alternative infrastructure.
European Commission to censor emojis on social media for safety
The European Commission and the Board of Digital Services Coordinators have published a report under the Digital Services Act identifying systemic risks on online platforms. A key finding involves the use of emojis as coded language for illegal activities, such as drug sales. Consequently, regulators plan to implement automated systems to detect and mitigate these risks, expanding censorship measures beyond text to include emojis for the protection of minors and public security.
AI-generated content dominates online platforms and challenges human creativity
Artificial intelligence is increasingly used to produce low-effort digital content, known as 'AI-slop', for monetisation and misinformation. Research indicates AI-generated web content now exceeds human-written material, with 90% of rapidly growing YouTube channels using such content. Experts note that while this lowers barriers to entry, it often results in a decline in overall quality and authenticity across various media sectors.
Artificial Intelligence uses mathematics and statistics to make predictions
Artificial Intelligence does not think like humans but uses mathematics and statistics to make predictions. The most common type is machine learning, where systems improve by analyzing huge amounts of examples rather than following strict instructions. Deep learning uses neural networks inspired by the human brain to detect patterns. AI is not perfect and can be biased if trained on unfair data. It lacks consciousness and emotions, calculating the most likely next output based on training data. Despite limitations, AI is changing the world in medicine, science, business, and education.
Chilean editorial warns proposed national reconstruction law threatens intellectual property rights
A Chilean editorial argues that Article 8 of the proposed National Reconstruction Law creates a fundamental error by establishing an exception to intellectual property rights. The measure allows the use of works without authorization or payment to facilitate technological development and train AI systems. The publication states this constitutes expropriation that undermines creative work, journalism, and the production of quality information, potentially increasing disinformation and weakening democracy. The editorial calls for the immediate removal of the article rather than adjustment.
Emotion AI technology expands into workplace surveillance and hiring processes
Emotion AI and affective computing tools are increasingly deployed to monitor worker performance, analyze candidate emotions during interviews, and assess employee sentiment. Companies like MorphCast, HireVue, and Aware utilize video, audio, and chat analysis to gauge mood, attention, and productivity. While the European Union banned such tools in the workplace in 2025, the global market is projected to reach $9 billion by 2030. Critics highlight significant flaws in the technology's ability to accurately interpret human emotion, noting risks of bias and the potential for misuse in employment decisions.
Knowledge workers in 2026 prioritise workflow discipline over AI tool subscriptions
In 2026, knowledge workers in the Middle East are finding that the value of AI writing tools depends on strict workflow discipline rather than tool adoption. While Agentic AI is projected to power 50% of UAE government services by 2028, professionals report that AI excels at drafting, summarising, and tone translation but fails at original analysis. A field experiment indicated a 25% reduction in email time, yet only 23% of companies achieved significant ROI compared to 97% of employees benefiting personally. Experts advise using AI for first drafts and editing, while retaining final voice and keeping proprietary data off public platforms to avoid generic or hallucinated content.
Eric Karkovack explores potential of local open-source AI models
Eric Karkovack discusses the benefits of local open-source AI models for agencies and website owners. He highlights advantages including enhanced privacy, reduced security risks, lower costs compared to proprietary APIs, and the ability to train models on specific niche data. The article suggests these leaner models could offer a more efficient and personal alternative to large corporate AI systems.
Demis Hassabis predicts understanding AI systems will become a new branch of science
Demis Hassabis, CEO of Google DeepMind, states that analysing AI systems will evolve into a distinct engineering science. He argues that as AI complexity matches the human mind, rigorous study of these artifacts is essential. Additionally, Hassabis suggests AI-powered simulations could bring scientific rigour to social sciences like economics, enabling controlled experiments impossible in the real world. He cites mechanistic interpretability and AlphaFold as evidence of this emerging trajectory.
Pentagon signs agreements with eight AI firms for classified networks
The US Department of Defense signed agreements on May 1 with eight frontier AI companies to deploy models on classified IL6 and IL7 networks. Approved vendors include SpaceX, OpenAI, Google, Nvidia, Reflection, Microsoft, Oracle, and Amazon Web Services. The move aims to establish an AI-first fighting force for data synthesis and decision-making. Defense leaders seek $961.6 billion for the 2026 budget, with $33.7 billion for autonomous systems. Anthropic was excluded due to stalled talks over surveillance and weapons guardrails.
Personal branding evolves into dynamic data-driven ecosystem in AI era
The article explains how artificial intelligence is transforming personal branding from static self-presentation to a dynamic, data-driven ecosystem. AI systems now interpret intent, sentiment, and authority, influencing search engines, social media, and recruitment tools. Success requires authenticity, strategic adaptability, and the ability to guide algorithmic interpretation rather than controlling narratives. Key strategies include leveraging AI as a creative partner while maintaining human essence, building trust through verifiable expertise, and focusing on meaningful engagement over volume. The future involves unified digital identities where reputation is continuously updated by intelligent systems based on behavioral footprints.
Global AI blackout leaves 500 million users stranded and causes $10 billion in losses
A global AI outage affected major services including ChatGPT and Google AI, leaving over 500 million users unable to access critical tools. The incident caused an estimated $10 billion in economic losses on the first day, disrupting sectors such as retail, healthcare, and finance. OpenAI CEO Sam Altman described the event as an unprecedented cyber incident. While the exact cause remains under investigation, experts warn of potential days or weeks of downtime, prompting calls for improved contingency planning and transparency from technology companies.
Google reports record Q1 2026 search revenue of $60.4 billion
Google reported first quarter 2026 search revenue of $60.4 billion, a 19% year-over-year increase. CEO Sundar Pichai attributed the growth to artificial intelligence innovations, specifically AI Overviews and AI Mode, which drove record query volumes. The article also notes a surge in organic click-through rates and the testing of Audio Overviews using the Gemini AI model. While the text references 2023 trends, the specific financial data and AI developments cited are from Q1 2026.
Chinese court rules illegal to lay off workers to replace them with AI
The Hangzhou Intermediate People's Court in China ruled that it is illegal for employers to terminate employment contracts or demote workers solely to replace them with AI automation. The court determined that using technological change as a pretext to reduce salaries or shift operating costs to employees violates workers' legitimate rights. This ruling emerged from a case where a worker was fired for refusing a demotion linked to job automation.
Midterms spur regulatory scrutiny over crypto and AI super PACs
In the run-up to the 2026 US midterm elections, industry groups aligned with cryptocurrency and artificial intelligence are channeling tens of millions of dollars into political committees. A new survey indicates broad skepticism among Americans toward both sectors, with nearly half trusting traditional banks more than crypto platforms and two-thirds wanting strict AI regulations. The findings pose a regulatory and political challenge for candidates accepting money from industry-aligned super PACs, as public skepticism could translate into voter backlash.
China introduces 72 new professions including AI roles to boost employment
China has released 72 new professions between 2021 and 2025, with over 20 related to artificial intelligence. Roles such as AI trainers, humanoid robot data collectors, and AI content creators are emerging in Shanghai. The Ministry of Human Resources and Social Security reports these new professions could drive employment for 300,000 to 500,000 people in the short term. Government subsidies support industry-training integration models linking enterprises, research institutes, and universities.
China deploys robot police squadrons to patrol cities during Labor Day holiday
During the Labor Day holiday, Chinese cities including Hangzhou, Kashgar, and Ordos deployed robot police squadrons to assist in traffic management and urban governance. These AI-powered robots, equipped with visual recognition and large language models, handle routine tasks such as directing traffic, issuing warnings for violations, and providing directions. The deployment aims to alleviate the workload on human officers and improve efficiency, marking a significant step in China's application of artificial intelligence for public services.
China's smart economy sees dramatic surge in token calls and AI adoption
China's smart economy is experiencing rapid growth, with national daily token calls exceeding 140 trillion in March 2026, a more than 1,000-fold increase from early 2024. The National Data Administration reports that AI development has entered a rapid growth phase, strengthening industry competitiveness. Upstream, midstream, and downstream manufacturing sectors have seen significant year-on-year growth. Traditional industries, including textiles and electrical accessories, are adopting AI to improve productivity and reduce costs. Experts predict China will break new ground in the smart economy during the 15th Five-Year Plan period (2026-2030).