Artificial intelligence

DeepMind unveils AlphaEvolve for scientific breakthroughs

Google DeepMind has unveiled AlphaEvolve, a new AI system designed to help solve complex scientific and mathematical problems by improving how algorithms are developed.

Rather than acting like a standard chatbot, AlphaEvolve blends large language models from the Gemini family with an evolutionary approach, enabling it to generate, assess, and refine multiple solutions at once.

Instead of relying on a single output, AlphaEvolve allows researchers to submit a problem and potential directions. The system then uses both Gemini Flash and Gemini Pro to create various solutions, which are automatically evaluated.

The best results are selected and enhanced through an iterative process, improving accuracy and reducing hallucinations—a common issue with AI-generated content.

Unlike earlier DeepMind tools such as AlphaFold, which focused on narrow domains, AlphaEvolve is a general-purpose AI for coding and algorithmic tasks.

It has already shown its value by optimising Google’s own Borg data centre management system, delivering a 0.7% efficiency gain—significant given Google’s global scale.

The AI also devised a new method for multiplying complex matrices, outperforming a decades-old technique and even beating DeepMind’s specialised AlphaTensor model.

AlphaEvolve has also contributed to improvements in Google’s hardware design by optimising Verilog code for upcoming Tensor chips.

Though not publicly available yet due to its complexity, AlphaEvolve’s evaluation-based framework could eventually be adapted for smaller AI tools used by researchers elsewhere.

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Amazon launches end-to-end AI audiobook production for publishers

Amazon has announced the expansion of AI-generated audiobook narration through its Audible platform, offering publishers the option to convert books into audio using synthetic voices.

The company’s new tools include more than 100 AI-generated voices across English, Spanish, French, and Italian, with variations in accents and dialects. Publishers will be able to choose between two production workflows: a fully managed Audible-led process or a self-service option using the same underlying technology.

According to Amazon, the initiative aims to scale audiobook production and increase accessibility. Audible CEO Bob Carrigan said the company’s long-term goal is to support ‘every book in every language’ through its end-to-end AI production system.

Later in 2024, Amazon will begin beta testing AI-powered translation services for audiobooks.

The services will include text-to-text translation of manuscripts—with the option of either AI or professional narration—and speech-to-speech translation designed to preserve the original narrator’s voice and tone across languages.

Human linguists will be available to review translations for accuracy and cultural context. Amazon did not indicate whether the new AI tools would replace human narrators but positioned the offering as an additional option for publishers.

The expansion comes as generative AI continues to reshape content production workflows across the publishing and media industries.

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Data for Change: The PARIS21 Foundation

The Data for Change Foundation is a Geneva-based non-profit foundation with global ties to promote more, better, and equal data to enable evidence-based decisions and ensure no one is left behind. By fostering partnerships, empowering stakeholders, and leveraging technology, we aim to create a world where data enhances accountability and drives impactful, inclusive change. In close collaboration with PARIS21 (Partnership in Statistics for Development in the 21st Century), we strengthen national statistical systems (NSSs) to produce and use high-quality data for policymaking and monitoring progress. Our joint work helps countries build resilient, inclusive statistical capacities that adapt to evolving global data needs while ensuring all voices are represented.

Digital activities

One of our flagship initiatives, the SME Data Boost, supports small and medium enterprises (SMEs) in Sub-Saharan Africa to build a robust data footprint. This project addresses the risk of SMEs being excluded from global trade due to missing or inadequate data, ensuring they can meet reporting requirements, remain competitive, and retain their place in global value chains. By equipping SMEs with essential tools and capabilities, the initiative fosters accountability and resilience within regional economies, helping them thrive in an increasingly data-driven world.

The Gender Data Lab (GDL) in Rwanda, launched in collaboration with the National Institute of Statistics of Rwanda (NISR), PARIS21, and the Gender Monitoring Office (GMO), is another example of our commitment to digital transformation. The GDL seeks to revolutionise the collection, analysis, and use of gender-disaggregated data to bridge existing gaps and inform evidence-based policymaking. By consolidating data sources and applying advanced data science techniques, the GDL equips policymakers with actionable insights to design gender-responsive policies and programmes. This initiative represents a critical step toward achieving accountability and progress on gender equality targets, such as the sustainable development goals (SDGs) and Rwanda’s Vision 2050. It also emphasises Rwanda’s leadership in ensuring accurate, accessible, gender data-informed decisions at all levels. Through its work, the GDL fosters an environment where interventions are tailored to address the unique challenges faced by women and men, driving inclusive and sustainable development.

Both the SME Data Boost and the GDL exemplify how our digital activities leverage technology and innovation to enhance access to critical data. These initiatives not only strengthen statistical capacities but also promote equitable access to the tools and insights needed to ensure that no one is left behind in the digital age.

Digital policy issues

Artificial intelligence

AI regulation & AI acts in LMICs

  • Addressing regulatory challenges and governance of artificial intelligence (AI) in low- and middle-income countries (LMICs) to ensure ethical, transparent, and inclusive adoption of AI technologies.
  • Advocating for context-specific AI policies that balance innovation and accountability, ensuring that LMICs can leverage AI for development while safeguarding against risks such as bias, misinformation, and data privacy concerns.
  • Supporting the integration of AI governance frameworks that align with global AI acts and responsible AI principles, ensuring that developing regions are not left behind in digital policy discussions.

Sustainable development

Closing SDG data gaps through digital innovation

  • Promoting citizen-generated data (CGD) as a complementary source to official statistics, enabling more inclusive and granular data for monitoring SDG progress.
  • Advocating for the integration of digital and AI-driven tools into NSSs to improve data collection, processing, and utilisation in policymaking.
  • Addressing issues of data ownership, privacy, and trust in the use of digital tools for SDG monitoring, particularly in LMICs.

Digital tools

Citizen-generated data platforms (in planning)

In collaboration with partners in Africa, we are developing digital platforms that empower citizens to contribute real-time, localised data to close critical SDG data gaps.

SME Data Boost

A workstream designed to help SMEs in Sub-Saharan Africa establish a strong data footprint, enabling them to participate in global trade, meet reporting requirements, and stay competitive in digital economies.

Gender Data Lab (GDL)

An initiative that leverages advanced data science techniques to improve gender-disaggregated data collection and analysis, supporting evidence-based gender policies in Rwanda.

Social media channels

LinkedIn @Dataforchange:theparis21foundation

YouTube @DataForChange

Contact @info@dataforchange.net

Android adds new scam protection for phone calls

Google is introducing new protections on Android devices to combat phone call scams, particularly those involving screen-sharing and app installations. Users will see warning messages if they attempt to change settings during a call and Android will also block the deactivation of Play Protect features.

The system will now block users from sideloading apps or granting accessibility permissions while on a call with unknown contacts.

The new tools are available on devices running Android 16 and select protections are also rolling out to older versions, starting with Android 11

A separate pilot in the UK will alert users trying to open banking apps during a screen-sharing call, prompting them to end the call or wait before proceeding.

These features expand Android’s broader efforts to prevent fraud, which already include AI-based scam detection for phone calls and messages.

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Audible and Spotify embrace AI to scale audiobook production

Audible, Amazon’s audiobook service, announced this week that it is partnering with publishers to convert print and e-books into AI-narrated audiobooks. The move is part of Audible’s strategy to expand its catalogue quickly as competition heats up with platforms like Apple and Spotify.

Using Amazon’s AI technology, Audible now offers publishers access to more than 100 synthetic voices across English, French, Spanish, and Italian, including various accents and dialects. More language options are expected to roll out over time.

Audible also revealed plans to launch a beta version of AI-powered translation services later this year. The tool will support both text-to-text and speech-to-speech translations from English into Spanish, French, Italian, and German.

Publishers will be able to request professional linguists to review the AI translations for accuracy. Amazon began experimenting with synthetic narration in 2023, launching an invite-only virtual voice tool for self-published authors.

The tool enables authors to transform their e-books into audiobooks using AI-generated speech. Audible also allowed a group of voice actors to train AI models using their voices.

Currently, more than 50,000 titles on Audible are listed as being ‘Narrated By: Virtual Voice’, indicating strong adoption by authors who may lack the budget or resources for traditional audiobook production.

Still, the rise of AI narration has sparked debate within the publishing world. Critics argue that automated voices could compromise the emotional nuance and performance quality that listeners expect from professional narrators.

Audible’s chief rival, Spotify, is also investing in AI-powered audiobooks. In February, Spotify partnered with voice AI company ElevenLabs to accelerate audiobook production across its platform.

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Lawyers sanctioned after AI-generated cases found false

A federal judge in California has sanctioned two law firms for submitting a legal brief containing fake citations generated by AI tools. Judge Michael Wilner described the AI-generated references as ‘bogus’ and fined the firms $31,000, criticising them for failing to properly check the sources.

The legal document in question was based on an outline created with Google Gemini and AI tools within Westlaw.

However, this draft was handed off to another firm, K&L Gates, which included the fabricated citations without verifying their authenticity.Judge Wilner noted that at least two cases referenced in the filing did not exist at all.

He warned that undisclosed reliance on AI could mislead US courts and compromise legal integrity. This case adds to a growing list of incidents where lawyers misused AI, mistakenly treating chatbots as legitimate research tools.

The judge called the actions professionally reckless and said no competent attorney should outsource research to AI without careful oversight.

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Cheshire’s new AI tool flags stalking before it escalates

Cheshire Police has become the first UK force to use AI in stalking investigations, aiming to identify harmful behaviours earlier. The AI will analyse reports in real time, even as victims speak with call handlers.

The system, trained using data from the force and the Suzy Lamplugh Trust, is designed to detect stalking patterns—even if the term isn’t used directly. Currently, officers in the Harm Reduction Unit manually review 10 cases a day.

Det Ch Insp Danielle Knox said AI will enhance, not replace, police work, and ethical safeguards are in place. Police and Crime Commissioner Dan Price secured £300,000 to fund the initiative, saying it could be ’25 times more effective’ than manual investigation.

Survivor ‘Amy’ said earlier intervention might have prevented her violent assault. Three-quarters of the unit’s cases already lead to charges, but police hope AI will improve that success rate and offer victims faster protection.

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Google tests AI mode on Search page

Google is experimenting with a redesigned version of its iconic Search homepage, swapping the familiar ‘I’m Feeling Lucky’ button for a new option called ‘AI Mode.’

The fresh feature, which began rolling out in limited tests earlier in May, is part of the company’s push to integrate more AI-driven capabilities into everyday search experiences.

According to a Google spokesperson, the change is currently being tested through the company’s experimental Labs platform, though there’s no guarantee it will become a permanent fixture.

The timing is notable, arriving just before Google I/O, the company’s annual developer conference where more AI-focused updates are expected.

Such changes to Google’s main Search page are rare, but the company may feel growing pressure to adapt. Just last week, an Apple executive revealed that Google searches on Safari had declined for the first time, linking the drop to the growing popularity of AI tools like ChatGPT.

By testing ‘AI Mode,’ Google appears to be responding to this shift, exploring ways to stay ahead in an increasingly AI-driven search landscape instead of sticking to its traditional layout.

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Spotify adds voice interaction to AI DJ in 60+ markets

Spotify is giving its AI DJ a major upgrade, allowing users to make voice requests for music, mood changes, and genre shifts. Previously a passive listening experience, the AI DJ now offers interactive features for Premium subscribers in more than 60 markets.

Users can now ask the AI DJ to play songs by a specific artist, switch genres, or change the vibe of a playlist entirely. The feature supports English voice commands at launch, with more languages likely to follow.

To access it, type ‘DJ’ in the Spotify search bar, then hold the DJ button in the bottom-right corner to issue a voice request. For quick changes without speaking, users can simply tap the DJ button.

Spotify first introduced the AI DJ in February 2023 in the US and Canada, later expanding the feature globally in August. In late 2023, the company also added a Spanish-speaking AI DJ to its lineup.

The new voice interactions mark Spotify’s latest step in personalising the streaming experience through AI.

Alongside the AI DJ, Spotify also offers another AI tool that allows users to create playlists using text prompts—highlighting the company’s ongoing push to integrate generative AI into music discovery and curation.

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Republicans seek to block state AI laws for a decade

Republican lawmakers in the US have introduced a proposal that would block states from regulating artificial intelligence for the next ten years. Critics argue the move is a handout to Big Tech and could stall protections already passed in states like California, Utah, and Colorado.

The measure, embedded in a budget reconciliation bill, would prevent states from enforcing rules on a wide range of automated systems, from AI chatbots to algorithms used in health and justice sectors.

Over 500 AI-related bills have been proposed this year at the state level, and many of them would be nullified if the federal ban succeeds. Supporters of the bill claim AI oversight should happen at the national level to avoid a confusing patchwork of state laws.

Opponents, including US Democrats and tech accountability groups, warn the ban could allow unchecked algorithmic discrimination, weaken privacy, and leave the public vulnerable to AI-driven harms.

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