The Zambian government has completed drafting a comprehensive AI policy aimed at leveraging modern technologies for the country’s development. Felix Mutati, the minister of science and technology, announced that the AI plan will be officially launched within the next two months. The initiative is seen as a crucial step towards achieving Zambia’s ambitious goal of producing 3 million tonnes of copper annually, utilising AI to enhance mineral exploration and production processes.
Copper, the cornerstone of Zambia’s economy, stands to benefit significantly from AI integration. Mutati highlighted that AI could expedite mineral exploration and create new job opportunities, thus bringing substantial economic benefits. Speaking at the Copperbelt Agricultural Mining and Industrial Networking Enterprise in Kitwe, he emphasised that AI is essential for the country’s future growth and development.
Zambia will host an AI Conference next month to prepare for an AI-driven future. The event aims to engage stakeholders and prepare the nation for the transformative impact of AI. Larry Mweetwa, the acting director for science and technology, mentioned that the government is already training its workforce in AI and will soon begin discussions with industry players to ensure effective implementation and maximum benefit from the new technology.
The European Securities and Markets Authority (ESMA) has issued its first statement on AI, emphasising that banks and investment firms in the EU must uphold boardroom responsibility and legal obligations to safeguard customers when using AI. ESMA’s guidance, aimed at entities regulated across the EU, outlines how these firms can integrate AI into their daily operations while complying with the EU’s MiFID securities law.
While AI offers opportunities to enhance investment strategies and client services, ESMA underscores its inherent risks, particularly concerning protecting retail investors. The authority stresses that management bodies are ultimately responsible for decisions, regardless of whether humans or AI-based tools make them. ESMA emphasises the importance of acting in clients’ best interests, irrespective of the tools firms choose to employ.
ESMA’s statement extends beyond the direct development or adoption of AI tools by financial institutions, also addressing the use of third-party AI technologies. Whether firms utilise platforms like ChatGPT or Google Bard with or without senior management’s direct knowledge, ESMA emphasises the need for management bodies to understand and oversee the application of AI technologies within their organisations.
Their guidance aligns with the forthcoming EU rules on AI, set to take effect next month, establishing a potential global standard for AI governance across various sectors. Additionally, efforts are underway at the global level, led by the Group of Seven economies (G7), to establish safeguards for AI technology’s safe and responsible development.
A recent study by the Reuters Institute and the University of Oxford sheds light on the general population’s widespread lack of awareness and usage of generative AI tools. Despite their prevalence in tech-centric professions, tools like ChatGPT, Gemini, and Copilot remain unfamiliar to many people, with 20-30% of respondents across six countries admitting they haven’t even heard of them.
The survey, conducted among approximately 12,000 participants in Argentina, Denmark, France, Japan, the UK, and the USA, highlights that most people do not use generative AI tools daily. Even OpenAI’s ChatGPT, the most recognised tool, is used daily by only a small fraction of respondents, ranging from 1% in Japan to 7% in the USA. Other popular tools like Google’s Gemini and Microsoft’s Copilot also have limited daily usage.
Generational differences are evident, with younger demographics more likely to engage with generative AI, while older age groups exhibit lower usage rates. The study suggests that generative AI is primarily utilised for media generation and information retrieval, with 28% using it for various media types and 24% for gathering information.
Respondents anticipate significant impacts of generative AI across sectors such as search engines, social media, news media, and science. However, overall expectations regarding AI’s societal impact lean towards pessimism, particularly concerning issues like the cost of living, equality, and job security.
Meta reported finding likely AI-generated content used deceptively on Facebook and Instagram, praising Israel’s handling of the Gaza conflict in comments under posts from global news organisations and US lawmakers. This campaign, linked to the Tel Aviv-based political marketing firm STOIC, targeted audiences in the US and Canada by posing as various concerned citizens. STOIC has not commented on the allegations.
Meta’s quarterly security report marks the first disclosure of text-based generative AI technology used in influence operations since its emergence in late 2022. While AI-generated profile photos have been identified in past operations, the use of text-based AI raises concerns about more effective disinformation campaigns. Despite this, Meta’s security team successfully disrupted the Israeli campaign early and maintained confidence in their ability to detect such networks.
The report detailed six covert influence operations disrupted in the first quarter, including an Iran-based network focused on the Israel-Hamas conflict, which did not use generative AI. As Meta and other tech giants continue to address potential AI misuse, upcoming elections in the EU and the US will test their defences against AI-generated disinformation.
Google will invest $2 billion to establish its first data centre and Google Cloud region in Malaysia, marking a significant expansion into Southeast Asia. This investment will be located in Sime Darby Property’s Elmina Business Park in central Selangor. It aims to advance Malaysia’s digital ambitions, offering AI capabilities and other advanced technologies to enhance the local industry’s global competitiveness.
The new data centre will support services like Search, Maps, and Workspace, while the cloud centre will cater to local businesses and public sector organisations. Google’s Chief Financial Officer, Ruth Porat, emphasised the partnership’s role in fostering an ecosystem for innovation and driving digital transformation in Malaysia. This collaboration builds on a previous agreement announced last November between the Malaysian government and Google to accelerate domestic innovation.
The move is part of a broader trend of global tech giants’ significant investments in Southeast Asia. Microsoft has committed $2.2 billion to cloud services in Malaysia and $1.7 billion in Indonesia. Additionally, Malaysian conglomerate YTL is partnering with Nvidia in a $4.3 billion AI infrastructure project, while Amazon plans to invest $9 billion in Singapore, $5 billion in Thailand, and $6 billion in Malaysia.
OpenAI has secured licensing agreements with The Atlantic and Vox Media, expanding its partnerships with publishers to enhance its AI products. These deals allow OpenAI to display news from these outlets in products like ChatGPT and use their content to train its AI models. Although financial terms were not disclosed, this move follows similar agreements with major publishers like News Corp., Dotdash Meredith, and The Financial Times.
Executives from The Atlantic and Vox Media emphasised that these partnerships will help readers discover their content more easily. Nicholas Thompson, CEO of The Atlantic, highlighted the importance of AI in future web navigation and expressed enthusiasm for making The Atlantic’s stories more accessible through OpenAI’s platforms.
Additionally, these agreements will provide the publishers access to OpenAI’s technology, aiding them in developing new AI-powered products. For instance, The Atlantic is working on Atlantic Labs, an initiative focused on creating AI-driven solutions using technology from OpenAI and other companies.
In just over two months, Paris will host the eagerly awaited 2024 Summer Olympics, welcoming athletes from around the globe. These athletes had a condensed preparation period due to the COVID-related delay of the 2020 Summer Olympics, which took place in Tokyo in 2021. While athletes hone their skills for the upcoming games, organisers diligently fortify their defences against cybersecurity threats.
As cyber threats become increasingly sophisticated, there’s a growing focus on leveraging AI to combat them. Blackbird.AI has developed Constellation, an AI-powered narrative intelligence platform that identifies and analyses disinformation-driven narratives. By assessing the risk and adding context to these narratives, Constellation equips organisations with invaluable insights for informed decision-making.
The platform’s real-time monitoring capability allows for early detection and mitigation of narrative attacks, which can inflict significant financial and reputational damage. With the ability to analyse various forms of content across multiple platforms and languages, Constellation offers a comprehensive approach to combating misinformation and safeguarding against online threats.
Meanwhile, the International Olympic Committee (IOC) is also embracing AI, recognising its potential to enhance various aspects of sports. From talent identification to improving judging fairness and protecting athletes from online harassment, the IOC is leveraging AI to innovate and enhance the Olympic experience. With cybersecurity concerns looming, initiatives like Viginum, spearheaded by French President Emmanuel Macron, aim to counter online interference and ensure the security of major events like the Olympics.
The European Commission has launched the AI Office to oversee the development, deployment, and regulation of AI in the EU. The AI Office ensures that AI fosters societal and economic benefits while managing associated risks. It will play a crucial role in implementing the AI Act, especially for general-purpose AI models. It will also support research and innovation to position the EU as a leader in trustworthy AI.
The AI Office comprises several specialised units. The Regulation and Compliance Unit will enforce the AI Act across the EU, working with member states to administer sanctions and handle investigations. The ‘AI Safety Unit’ will identify and mitigate risks associated with powerful AI models. The ‘Excellence in AI and Robotics Unit’ will fund research and coordinate the GenAI4EU initiative. The ‘AI for Societal Good Unit’ will focus on international collaborations in areas like weather modelling and cancer diagnosis. Lastly, the ‘AI Innovation and Policy Coordination Unit’ will monitor AI trends, stimulate investment, and support testing and regulatory sandboxes.
Led by the Head of the AI Office and advised by a Lead Scientific Adviser and an international affairs expert, the office will employ over 140 staff members. These include technology specialists, lawyers, and policy experts. The AI Office will collaborate with member states and the scientific community through dedicated forums and the European Artificial Intelligence Board. It will also support research and innovation activities, ensuring that AI models developed in Europe are integrated into various applications, thereby stimulating investment.
The AI Office will officially begin its operations on 16 June, with the first meeting of the AI Board scheduled for the end of June. It will issue guidelines on AI system definitions and prohibitions within six months of the AI Act’s enforcement, expected by the end of July 2024. This initiative follows the EU AI Act, provisionally agreed upon in December 2023, and aims to maintain safety and fundamental rights while fostering innovation and investment in AI across Europe.
According to Ireland’s Data Protection Commission, leading global internet companies are working closely with the EU regulators to ensure their AI products comply with the bloc’s stringent data protection laws. This body, which oversees compliance for major firms like Google, Meta, Microsoft, TikTok, and OpenAI, has yet to exercise its full regulatory power over AI but may enforce significant changes to business models to uphold data privacy.
AI introduces several potential privacy issues, such as whether companies can use public data to train AI models and the legal basis for using personal data. AI operators must also guarantee individuals’ rights, including the right to have their data erased and address the risk of AI models generating incorrect personal information. Significant engagement has been noted from tech giants seeking guidance on their AI innovations, particularly large language models.
Following consultations with the Irish regulator, Google has already agreed to delay and modify its Gemini AI chatbot. While Ireland leads regulation due to many tech firms’ EU headquarters being located there, other EU regulators can influence decisions through the European Data Protection Board. AI operators must comply with the new EU AI Act and the General Data Protection Regulation, which imposes fines of up to 4% of a company’s global turnover for non-compliance.
Why does it matter?
Ireland’s broad regulatory authority means that companies failing to perform due diligence on new products could be forced to alter their designs. As the EU’s AI regulatory landscape evolves, these tech firms must navigate both the AI Act and existing data protection laws to avoid substantial penalties.
Fintech company Klarna has revealed that substantial cost savings have been achieved through the use of generative AI (GenAI) technology. Klarna, an early adopter of GenAI, employs AI for various purposes, including running marketing campaigns and generating images. The company reports saving approximately $10 million annually through AI implementation.
In the first quarter, Klarna reduced its sales and marketing budget by 11%, with AI accounting for 37% of these cost savings. Utilising GenAI tools such as Midjourney, DALL-E, and Firefly for image generation, Klarna has notably reduced image production costs by $6 million. By leveraging AI, Klarna updates images on its app and website weekly, aligning with key retail events like Valentine’s Day and summer sales.
According to Klarna’s Chief Marketing Officer David Sandström, the company has eliminated the need for costly bespoke imagery traditionally associated with seasonal events. With GenAI, Klarna has streamlined its image development cycle, generating over 1,000 images in the first three months of 2024 and reducing the cycle time from six weeks to seven days.
Additionally, Klarna has realised further savings of $4 million by reducing spending on external marketing suppliers for translation, production, and social agencies. Furthermore, Klarna’s partnership with OpenAI has resulted in an AI assistant for customer service, performing tasks equivalent to 700 full-time agents, showcasing the company’s commitment to leveraging AI technology across various aspects of its operations.
