Google Pixel 10 could transform smartphones with advanced AI features

Google’s upcoming Pixel 10 smartphones are tipped to place AI at the centre of the user experience, with three new features expected to redefine how people use their devices.

While hardware upgrades are anticipated at the Made by Google event, much of the excitement revolves around the AI tools that may debut.

One feature, called Help Me Edit, is designed for Google Photos. Instead of spending time on manual edits, users could describe the change they want, such as altering the colour of a car, and the AI would adjust instantly.

Expanding on the Pixel 9’s generative tools, it promises far greater control and speed.

Another addition, Camera Coach, could offer real-time guidance on photography. Using Google’s Gemini AI, the phone may provide step-by-step advice on framing, lighting, and composition, acting as a digital photography tutor.

Finally, Pixel Sense is rumoured to be a proactive personal assistant that anticipates user needs. Learning patterns from apps such as Gmail and Calendar, it could deliver predictive suggestions and take actions across third-party services, bringing the smartphone closer to a truly adaptive companion.

These features suggest that Google is betting heavily on AI to give the Pixel 10 a competitive edge.

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Zimbabwe to launch national AI policy by October to boost digital sovereignty

Zimbabwe’s Information and Communication Technology Minister, Tendai Mavetera, revealed the second draft of the National AI Policy during the AI Summit for Africa 2025 in Victoria Falls, hosted by Alpha Media Holdings and AIIA.

Though the policy was not formalised during the summit, Mavetera stated it is expected to be launched by 1 October 2025 at the new Parliament building, with presidential presence anticipated.

The strategy is designed to foster an Africa where AI serves humanity, ensuring connectivity in every village, education access for every child, and opportunity for every young person.

Core features include data sovereignty and secure data storage, with institutions like TelOne expected to host localised solutions, moving away from past practices of storing data abroad.

Speakers at the summit underscored AI’s role in economic and social transformation rather than job displacement; Africa’s investment in AI surpassed US$200 billion in 2024.

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AI in justice: Bridging the global access gap or deepening inequalities

At least 5 billion people worldwide lack access to justice, a human right enshrined in international law. In many regions, particularly low and middle-income countries, millions face barriers to justice, ranging from their socioeconomic position to the legal system failure. Meanwhile, AI has entered the legal sector at full speed and may offer legitimate solutions to bridge this justice gap.

Through chatbots, automated document review, predictive legal analysis, and AI-enabled translation, AI holds promise to improve efficiency and accessibility. Yet, the rise of AI in legal systems across the globe suggests the digitalisation of our legal systems.

While it may serve as a tool to break down access barriers, AI legal tools could also introduce the automation of bias in our judicial systems, unaccountable decision-making, and act as an accelerant to a widening digital divide. AI is capable of meaningfully expanding equitable justice, but its implementation must safeguard human rights principles. 

Improving access to justice

Across the globe, AI legal assistance pilot programmes are underway. The UNHCR piloted an AI agent to improve legal communication barriers in Jordan. AI transcribes, translates, and organises refugee queries. With its help, users can streamline their caseload management, which is key to keeping operations smooth even under financial strain

NGOs working to increase access to justice, such as Migrasia in Hong Kong, have begun using AI-powered chatbots to triage legal queries from migrant workers, offering 24/7 multilingual legal assistance.

While it is clear that these tools are designed to assist rather than replace human legal experts, they are showing they have the potential to significantly reduce delays by streamlining processes. In the UK, AI transcription tools are being used to provide victims of serious sexual crimes with access to judges’ sentencing remarks and explanations of legal language. This tool enhances transparency for victims, especially those seeking emotional closure. 

Even as these programmes are only being piloted, a UNESCO survey found that 44% of judicial workers across 96 countries are currently using AI tools, like ChatGPT, for tasks such as drafting and translating documents. For example, the Morrocan judiciary has already integrated AI technology into its legal system.

AI tools help judges prepare judgments for various cases, as well as streamline legal document preparation. The technology allows for faster document drafting in a multilingual environment. Soon, AI-powered case analysis, based on prior case data, may also provide legal experts with predictive outcomes. AI tools have the opportunity and are already beginning to, break down barriers to justice and ultimately improve the just application of the law. 

Risking human rights

While AI-powered legal assistance can provide affordable access, improve outreach to rural or marginalised communities, close linguistic divides, and streamline cases, it also poses a serious risk to human rights. The most prominent concerns surround bias and discrimination, as well as widening the digital divide.

Deploying AI without transparency can lead to algorithmic systems perpetuating systematic inequalities, such as racial or ethnic biases. Meanwhile, the risk of black box decision-making, through the use of AI tools with unexplainable outputs, can make it difficult to challenge legal decisions, undermining due process and the right to a fair trial.

Experts emphasise that the integration of AI into legal systems must focus on supporting human judgment, rather than outright replacing it. Whether AI is biased by its training datasets or simply that it becomes a black box over time, AI usage is in need of foresighted governance and meaningful human oversight. 

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Image via Pixabay / jessica45

Additionally, AI will greatly impact economic justice, especially for those in low-income or marginalised communities. Legal professionals lack necessary training and skills needed to effectively use AI tools. In many legal systems, lawyers, judges, clerks, and assistants do not feel confident explaining AI outputs or monitoring their use.

However, this lack of education undermines the necessary accountability and transparency needed to integrate AI meaningfully. It may lead to misuse of the technology, such as unverified translations, which can lead to legal errors. 

While the use of AI improves efficiency, it may erode public trust when legal actors fail to use it correctly or the technology reflects systematic bias. The judiciary in Texas, US, warned about this concern in an opinion that detailed the fear of integrating opaque systems into the administration of justice. Public trust in the legal system is already eroding in the US, with just over a third of Americans expressing confidence in 2024.

The incorporation of AI into the legal system threatens to derail the public’s faith that is left. Meanwhile, those without access to digital connectivity or literacy education may be further excluded from justice. Many AI tools are developed by for-profit actors, raising questions about justice accessibility in an AI-powered legal system. Furthermore, AI providers will have access to sensitive case data, which poses a risk of misuse and even surveillance. 

The policy path forward

As already stated, for AI to be integrated into legal systems and help bridge the justice gap, it must take on the role of assisting to human judges, lawyers, and other legal actors, but it cannot replace them. In order for AI to assist, it must be transparent, accountable, and a supplement to human reason. UNESCO and some regional courts in Eastern Africa advocate for judicial training programmes, thorough guidelines, and toolkits that promote the ethical use of AI.

The focus of legal AI education must be to improve AI literacy and to teach bias awareness, as well as inform users of digital rights. Legal actors must keep pace with the innovation and integration level of AI. They are the core of policy discussions, as they understand existing norms and have firsthand experience of how the technology affects human rights. 

Other actors are also at play in this discussion. Taking a multistakeholder approach that centres on existing human rights frameworks, such as the Toronto Declaration, is the path to achieving effective and workable policy. Closing the justice gap by utilising AI hinges on the public’s access to the technology and understanding how it is being used in their legal systems. Solutions working to demystify black box decisions will be key to maintaining and improving public confidence in their legal systems. 

The future of justice

AI has the transformative capability to help bridge the justice gap by expanding reach, streamlining operations, and reducing cost. AI has the potential to be a tool for the application of justice and create powerful improvements to inclusion in our legal systems.

However, it also poses the risk of deepening inequalities and decaying public trust. AI integration must be governed by human rights norms of transparency and accountability. Regulation is possible through education and discussion predicated on adherence to ethical frameworks. Now is the time to invest in digital literacy to create legal empowerment, which ensures that AI tools are developed to be contestable and serve as human-centric support. 

AI, justice, law
Image via Pixabay / souandresantana

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Zoom launches AI Virtual Agent to replace human receptionists

Zoom has unveiled its Virtual Agent for Zoom Phone, a 24/7 AI concierge designed to replace or support human receptionists. The tool can greet callers naturally, process requests, and initiate next steps without human intervention, aiming to reduce missed calls and waiting times.

The AI agent is initially available in English, Spanish, French, German, Portuguese, and Japanese, with more languages planned.

Companies can set up the system without coding expertise by training it with existing documents or company websites, allowing for a faster, personalised, and scalable customer experience.

Zoom highlighted use cases across sectors, including booking appointments in healthcare, checking stock and answering retail product queries, and providing financial service updates. The Virtual Agent promises to handle these tasks autonomously, giving businesses greater efficiency and flexibility.

In addition, Zoom has enhanced its AI Companion tool to manage meeting scheduling. The agent can coordinate invites, track responses, and suggest alternatives, freeing teams to focus on discussions rather than logistics.

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Applied Digital unveils $3 billion AI factory in North Dakota

Applied Digital is expanding in North Dakota with Polaris Forge 2, a $3 billion AI factory breaking ground in September 2025. The Harwood site will add 280 megawatts of capacity by 2027, cementing the state’s role in US AI infrastructure.

The project reflects demand and Applied Digital’s push to deliver high-performance compute power at scale. CEO Wes Cummins confirmed strong partner interest, including discussions with a US hyperscaler, and stated that the development will enhance growth and community value.

North Dakota has become a key destination for data centres, with abundant power, land, and a business-friendly climate. Polaris Forge 2 builds on the success of the Ellendale campus, with over 900 acres contracted and energy secured from Cass County Electric Cooperative.

The campus will employ more than 200 staff and contractors upon completion of operations. Governor Kelly Armstrong welcomed the investment, praising Applied Digital’s housing and workforce initiatives in Ellendale as a model for rural innovation and economic resilience.

Commerce Commissioner Chris Schilken said the Harwood site extends that success, reinforcing North Dakota as a hub for sustainable AI infrastructure. Applied Digital sees Polaris Forge 2 as advancing its mission to deliver innovation while driving local development and long-term growth.

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Pakistan launches national AI innovation competition

Pakistan’s Ministry of Planning, Development, and Special Initiatives has launched a national innovation competition to drive the development of AI solutions in priority sectors. The initiative aims to attract top talent to develop impactful health, education, agriculture, industry, and governance projects.

Minister Ahsan Iqbal said AI is no longer a distant prospect but a present reality that is already transforming economies. He described the competition as a milestone in Pakistan’s digital history and urged the nation to embrace AI’s global momentum.

Iqbal stressed that algorithms now shape decisions more than traditional markets, warning that technological dependence must be avoided. Pakistan, he argued, must actively participate in the AI revolution or risk being left behind by more advanced economies.

He highlighted AI’s potential to predict crop diseases, aid doctors in diagnosis, and deliver quality education to every child nationwide. He said Pakistan will not be a bystander but an emerging leader in shaping the digital future.

The government has begun integrating AI into curricula and expanding capacity-building initiatives. Officials expect the competition to unlock new opportunities for innovation, empowering youth and driving sustainable development across the country.

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SoftBank invests $2 billion in Intel to boost US semiconductor industry

Japanese technology giant SoftBank has announced plans to buy a $2 billion stake in Intel, signalling a stronger push into the American semiconductor industry.

The investment comes as Washington debates greater government involvement in the sector, with reports suggesting President Donald Trump is weighing a US government stake in the chipmaker.

SoftBank will purchase Intel’s common stock at $23 per share. Its chairman, Masayoshi Son, said semiconductors remain the backbone of every industry and expressed confidence that advanced chip manufacturing will expand in the US, with Intel playing a central role.

The move follows SoftBank’s increasing investments in the US, including its role in the $500 billion ‘Stargate’ AI project announced earlier this year.

Once a dominant force in Silicon Valley, Intel has struggled against rivals such as Nvidia and AMD. Under new CEO Lip-Bu Tan, the company is cutting 15% of its workforce and reducing costs to stabilise operations.

After a private meeting, Trump recently criticised Tan’s leadership but later softened his stance.

Shares in both companies slipped following the announcement, with SoftBank down 2.2% in Tokyo and Intel falling 3.7% in New York.

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NSPRA warns AI must complement, not replace, human voices in education

A new report from the National School Public Relations Association (NSPRA) and ThoughtExchange highlights the growing role of AI in K-12 communications, offering detailed guidance for ethical integration and effective school engagement.

Drawing on insights from 200 professionals across 37 states, the study reveals how AI tools boost efficiency while underscoring the need for stronger policies, transparency, and ongoing training.

Barbara M Hunter, APR, NSPRA executive director, explained that AI can enhance communication work but will never replace strategy, human judgement, relationships, and authentic school voices.

Key findings show that 91 percent of respondents already use AI, yet most districts still lack clear policies or disclosure practices for employee use.

The report recommends strengthening AI education, accelerating policy development, expanding the scope to cover staff, and building proactive strategies supported by human oversight and trust.

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AfDB backs AI training to drive Africa’s Agenda 2063

The African Development Bank has strengthened Africa’s digital journey by backing a landmark AI training initiative linked to Agenda 2063. The effort aims to accelerate the continent’s long-term strategy, ‘The Africa We Want,’ by equipping states with practical expertise.

Through its Joint Secretariat Support Office, the Bank gave both technical and financial backing to the 5th Annual Training Workshop. The event focused on applying AI to monitoring, evaluation, and reporting under the Second Ten-Year Plan of Agenda 2063.

The Lusaka workshop, co-hosted by the African Union Commission and the African Capacity Building Foundation, featured sessions with Ailyse, ChatGPT, Google AI Studio, Google Gemini, and Perplexity. Delegates explored embedding AI insights into analytics for stronger policymaking and accountability.

By investing in institutional capacity, the AfDB and partners aim to advance AI-enabled solutions that improve policy interventions, resource allocation, and national priorities. The initiative reflects a broader effort to integrate digital tools into Africa’s governance structures.

The workshop also fostered peer learning, allowing delegates to share best practices in digital monitoring frameworks. By driving AI adoption in planning and results delivery, the AfDB underlines its role as a partner in Africa’s transformation.

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Milky Way platform showcases Tredence’s vision for autonomous AI in business

Tredence has launched Milky Way, a multi-agent, multi-turn system that uses autonomous AI agents to accelerate enterprise decision-making. The platform introduces specialised agents that collaborate like digital co-workers, combining reasoning and execution to deliver outcomes at scale.

The system addresses a common challenge: converting enterprise data into timely and actionable insights. The Milky Way incorporates over 15 prebuilt agents across key business roles and more than 50 specialised agents trained on real-world enterprise scenarios.

Agents span critical functions, from marketing analysts optimising campaigns to supply chain analysts anticipating disruptions. Technical agents, such as anomaly detection and Text-to-SQL, complement them by handling operational complexity with accuracy and transparency.

Early trials have shown striking results, with companies reporting up to five times faster insights and 50% lower analytics costs. Global retailers cut manual effort by 60%, while healthcare providers streamlined patient data aggregation and triage, supporting speedier diagnosis.

Designed for enterprise-grade use, Milky Way integrates seamlessly with existing data systems, offering role-based access, full audit trails, and domain expertise. Tredence positions it as a step towards AI agents that deliver context-aware, scalable business outcomes.

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