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Tech giants clash over California AI legislation

California lawmakers are poised to vote on groundbreaking legislation aimed at regulating AI to prevent potential catastrophic risks, such as manipulating the state’s electric grid or aiding in the creation of chemical weapons. Spearheaded by Democratic state Sen. Scott Wiener, the bill targets AI systems with immense computing power, setting safety standards that apply only to models costing over $100 million to train.

Tech giants like Meta (Facebook) and Google strongly oppose the bill, arguing that it unfairly targets developers rather than those who misuse AI for harmful purposes. They contend that such regulations could stifle innovation and drive tech companies away from California, potentially fracturing the regulatory landscape.

While highlighting California’s role as a leader in AI adoption, Governor Gavin Newsom has not publicly endorsed the bill. His administration is concurrently exploring rules to combat AI discrimination in employment and housing, underscoring the dual challenges of promoting AI innovation while safeguarding against its misuse.

The proposed legislation has garnered support from prominent AI researchers and would establish a new state agency to oversee AI development practices and enforce compliance. Proponents argue that California must act swiftly to avoid repeating past regulatory oversights in the social media sector, despite concerns over regulatory overreach and its potential economic impact.

Google requires disclosure for election ads with altered content

Google announced that it will require advertisers to disclose election ads that use digitally altered content depicting real or realistic-looking people or events to combat misinformation during elections. This latest update to Google’s political content policy mandates advertisers to select a checkbox for ‘altered or synthetic content’ within their campaign settings.

The proliferation of generative AI, capable of rapidly creating text, images, and video, has sparked concerns over potential misuse. Deepfakes, which convincingly manipulate content to misrepresent individuals, have further blurred the distinction between fact and fiction in digital media.

To implement these changes, Google will automatically generate an in-ad disclosure for feeds and shorts on mobile devices and in-stream ads on computers and television. Advertisers must provide a prominently displayed disclosure for other ad formats that is clearly visible to users. According to Google, the exact wording of these disclosures will vary based on the context of each advertisement.

Why does it matter?

Earlier this year, during India’s general election, fake videos featuring Bollywood actors surfaced online, criticising Prime Minister Narendra Modi and urging support for the opposition Congress party. The incident highlighted the growing challenge of combating deceptive content amplified by AI-generated media.

In a related effort, OpenAI, led by Sam Altman, reported disrupting five covert influence operations in May that aimed to manipulate public opinion using AI models across various online platforms. Meta Platforms had previously committed to similar transparency measures, requiring advertisers on Facebook and Instagram to disclose the use of AI or digital tools in creating political, social, or election-related ads.

EU antitrust probe targets Microsoft-OpenAI and Google-Samsung AI deals

EU antitrust regulators scrutinise Microsoft’s partnership with OpenAI and Google’s AI deal with Samsung due to concerns over exclusivity clauses. Competition chief Margrethe Vestager plans to gather more third-party views. This development comes amid global unease about Big Tech’s dominance in new technologies.

After sending questionnaires to tech firms regarding their AI partnerships, Vestager now seeks additional information about Microsoft’s $13 billion investment in OpenAI’s for-profit subsidiary, which would result in a 49% stake, to determine if it harms competitors.

While Microsoft’s deal isn’t subject to EU merger rules, Vestager also investigates if Big Tech is blocking smaller AI developers from accessing users and businesses. Similar concerns apply to Google’s agreement to pre-install its Gemini Nano model on Samsung devices.

Vestager also examines ‘acqui-hires,’ where companies acquire others primarily for their talent, such as Microsoft’s $650-million acquisition of Inflection, to ensure these practices don’t bypass merger control rules and lead to market concentration.

Why does it matter?

Reuters reported in April that the EU regulators were building a case that could lead to an antitrust investigation into Microsoft’s $13 billion investment in OpenAI. Partnerships involving Alphabet, Amazon, and Anthropic are also under scrutiny from antitrust enforcers on both sides of the Atlantic.

AI brings 110 new languages to Google Translate

Google Translate is undergoing its largest expansion yet, adding 110 new languages and reaching nearly a tenth of the global population, thanks to advancements in AI. Google’s PaLM 2 language model has facilitated this growth by efficiently learning languages that are closely related, such as Awadhi and Marwadi, which are similar to Hindi, and French creoles like Seychellois Creole and Mauritian Creole. The expansion includes new languages like Afar, Cantonese, and Tamazight, bringing over 614 million people into the fold, with a significant focus on African languages.

Google’s approach to language variety and dialects involves creating hybrid models that prioritize the most commonly used forms. For instance, the translation model for Romani combines elements from several dialects, including Southern Vlax Romani, to produce a more universally understandable output. The strategy follows their 2022 introduction of 24 new languages using Zero-Shot Machine Translation, which enables translation without prior examples, and their ambitious 1,000 Languages Initiative to support the world’s most spoken languages.

Isaac Caswell, a Google software engineer, highlighted that ongoing partnerships with expert linguists and native speakers will further enhance the diversity and accuracy of Google Translate. The expansion underscores Google’s broader commitment to integrating AI across its platforms, a trend mirrored by competitors like Apple and Microsoft, who are also embedding AI into their services. Google Translate can be accessed at translate.google.com or through its mobile apps for Android and iOS.

The future of humour in advertising with AI

AI is revolutionising the world of advertising, particularly when it comes to humour. Traditionally, humour in advertising was heavily depended on human creativity, relying on puns, sarcasm, and funny voices to engage consumers. However, as AI advances, it is increasingly being used to create comedic content.

Neil Heymann, Global Chief Creative Officer at Accenture Song, discussed the integration of AI in humour at the Cannes Lions International Festival of Creativity. He noted that while humour in advertising carries certain risks, the potential rewards far outweigh them. Despite the challenges of maintaining a unique comedic voice in a globalised market, AI offers new opportunities for creativity and personalisation.

One notable example Heymann highlighted was a recent Uber ad in the UK featuring Robert De Niro. He emphasised that while AI might struggle to replicate the nuanced performance of an actor like De Niro, it can still be a valuable tool for generating humour. For instance, a new tool developed by Google Labs can create jokes by exploring various wordplay and puns, expanding the creative options available to writers.

Heymann believes that AI can also help navigate the complexities of global advertising. By acting as an advanced filtering system, AI can identify potential cultural pitfalls and ensure that humorous content resonates with diverse audiences without losing the thrill of creativity.

Moreover, AI’s impact on advertising extends beyond humour. Toys ‘R’ Us recently pioneered text-to-video AI-generated advertising clips, showcasing AI’s ability to revolutionise content creation across various formats. That innovation highlights the expanding role of AI in shaping the future of advertising, where technological advancements continuously redefine creative possibilities.

Meta launches AI chatbot in India, rivaling Google’s Gemini

Meta has officially introduced its AI chatbot, powered by Llama 3, to all users in India following comprehensive testing during the country’s general elections. Initially trialled on WhatsApp, Instagram, Messenger, and Facebook since April, the chatbot is now fully accessible through the search bars in these apps and the Meta.AI website. Despite supporting only English, its functionalities are on par with other major AI services like ChatGPT and Google’s Gemini, including tasks such as suggesting recipes, planning workouts, writing emails, summarising text, recommending Instagram Reels, and answering questions about Facebook posts.

The launch aims to capitalise on India’s vast user base, notably the 500 million WhatsApp users, by embedding the chatbot deeper into the user experience. However, some limitations have been observed, such as the chatbot’s inability to fully understand the context of group conversations, except in direct mentions or replies. Moreover, while it cannot be disabled, users can choose not to interact with it during searches.

Despite its capabilities, Meta AI has faced criticisms for biases in its image generation, often depicting Indian men with turbans and producing images of traditional Indian houses, which Meta has acknowledged and aims to address through ongoing updates. The launch coincides with Google releasing its Gemini app in India, which, unlike Meta’s chatbot, supports multiple local languages, potentially giving Google a competitive advantage in the linguistically diverse Indian market.

Why does it matter?

In summary, Meta’s rollout of its English-only AI chatbot in India is a strategic effort to leverage its extensive user base by offering robust functionalities similar to established competitors. While it faces initial limitations and biases, Meta is actively working on improvements. The concurrent release of Google’s Gemini app sets up a competitive landscape, underscoring the dynamic and evolving nature of AI services in India.

Google enhances Gmail with new AI features

Google is enhancing Gmail with new AI features designed to streamline email management. A new Gemini side panel is being introduced for the web, which is capable of summarising email threads and drafting new emails. Users will receive proactive prompts and can ask freeform questions, utilising Google’s advanced models like Gemini 1.5 Pro. The mobile Gmail app will also feature Gemini’s ability to summarise threads.

However, these upgrades will only be accessible to paid Gemini users. To benefit from these features, one must be a Google Workspace customer with a Gemini Business or Enterprise add-on, a Gemini Education or Education Premium subscriber, or a Google One AI Premium member. Despite their potential usefulness, it’s advised not to depend entirely on these AI tools for critical work, as AI can sometimes produce inaccurate information.

In addition to Gmail, Google is incorporating Gemini features into the side panels of Docs, Sheets, Slides, and Drive. The rollout follows Google’s earlier promises at the I/O conference. Further AI enhancements, including ‘Contextual Smart Reply,’ are expected to arrive for Gmail soon.

Brazil court ends investigation into Google, Telegram

Brazil’s top court has decided to close an investigation into Alphabet’s Google and Telegram. The tech giants were being investigated for allegedly coordinating their opposition to a bill designed to combat fake news. The pending bill would require internet companies to find and report illegal material on their platforms, with heavy fines for non-compliance.

Judge Alexandre de Moraes ruled in favour of Brazil’s deputy prosecutor general, who saw no grounds for criminal proceedings against the companies. The investigation into the executives from these tech firms, which Moraes ordered last year, will now be halted.

Google and University of Tokyo to launch AI initiative for regional solutions

Google LLC and the University of Tokyo are teaming up to leverage generative AI to tackle local challenges in Japan, such as the nation’s shrinking workforce. The initiative, featuring prominent AI researcher Professor Yutaka Matsuo, will be piloted in Osaka and Hiroshima prefectures, with plans to expand successful models nationwide by 2027.

In Osaka, the project aims to address employment mismatches by using AI to suggest job opportunities and career paths that job seekers might not have considered. That approach differs from traditional job placement agencies and will draw from extensive online data to offer more tailored job suggestions.

The specific focus for Hiroshima has yet to be determined. However, Hiroshima Governor Hidehiko Yuzaki expressed a vision for AI to provide detailed responses to relocating inquiries, signalling AI’s potential to shape the prefecture’s future.

Beyond these initial projects, Google suggests that generative AI could enhance medical care on remote islands and automate agriculture, forestry, and fisheries tasks. Professor Matsuo emphasised that effectively utilising generative AI presents a significant opportunity for Japan.

Meta and Google adopt different approaches to election-related query restrictions in India

As India’s elections conclude and the new government commences its term, Meta has removed restrictions on election-related queries through its Meta AI chatbot. Users can now access information about election results, politicians, and officeholders. Initially, Meta had limited such queries, directing users to the Election Commission’s website for information on politicians, candidates, and political parties. While Meta hasn’t issued an official statement, this move aligns with the company’s ongoing efforts to refine its AI models.

Meanwhile, despite launching its Gemini AI app in India, Google maintains restrictions on election-related queries as part of a global policy. The company directs users to Google Search instead of providing direct responses through Gemini AI. These restrictions were implemented earlier this year in response to elections worldwide. However, it remains to be seen when Google will lift these restrictions, particularly in countries where elections have concluded and new governments are in place.

Why does it matter?

The differing approaches of Meta and Google highlight the complexities surrounding AI chatbots and political queries. While Meta temporarily restricted queries during the Indian elections, Google maintains global restrictions. The decisions underscore companies’ challenges in managing AI outputs, especially amidst concerns about bias and misinformation. Other AI chatbots like ChatGPT and Microsoft Copilot also exhibit varied responses to political queries, reflecting the broader scrutiny developers face in ensuring the integrity of AI-driven platforms.