On Monday, the world’s largest music label, Universal Music Group (UMG), announced an agreement with Meta Platforms to create new opportunities for artists and songwriters on Meta’s social platforms. The multi-year global agreement includes Meta’s major platforms – Facebook, Instagram, Messenger, and WhatsApp.
The joint statement states, ‘The new agreement reflects the two companies’ shared commitment to protecting human creators and artistry, including ensuring that artists and songwriters are compensated fairly. As part of their multifaceted partnership, Meta and UMG will continue working together to address, among other things, unauthorised AI-generated content that could affect artists and songwriters.
In 2017, UMG and Meta Platforms signed an agreement to license UMG’s music catalogues for use on Facebook’s platforms, thereby creating a new revenue stream for artists to generate income from user-generated videos, as there was no way to monetise this previously, and artists had to rely on complicated legal proceedings to remove unlicensed content. The latest agreement further expands monetisation opportunities for Universal Music’s artists and songwriters, including licensed music for short-form videos.
An Austrian advocacy group, NOYB, has filed a complaint against the social media platform X, owned by Elon Musk, accusing the company of using users’ data to train its AI systems without their consent. The complaint, led by privacy activist Max Schrems, was lodged with authorities in nine European Union countries, pressuring Ireland’s Data Protection Commission (DPC), the primary EU regulator for major US tech firms because their EU operations are based in Ireland.
Despite this fact, NOYB’s complaint primarily focuses on X’s lack of cooperation and the inadequacy of its mitigation measures rather than questioning the legality of the data processing itself. Schrems emphasised the need for X to fully comply with the EU law by obtaining user consent before using their data. X has yet to respond to the latest complaint but intends to work with the DPC on AI-related issues.
In a related case, Meta, Facebook’s parent company, delayed the launch of its AI assistant in Europe after the Irish DPC advised against it, following similar complaints from NOYB regarding using personal data for AI training.
ASOS has deepened its collaboration with Microsoft by signing a new three-year deal to extend its use of AI technologies. The partnership, aimed at enhancing both customer experiences and internal operations, will see the introduction of AI tools designed to save time and allow employees to focus on more creative and strategic tasks. The online retailer’s director of technology operations, Victoria Arden, emphasised the importance of this move in driving operational excellence.
Since early 2023, ASOS has been utilising Microsoft’s Copilot tools, including those for Microsoft 365 and GitHub, to improve the efficiency of its engineering and HR teams. The HR team, for instance, has used Copilot to analyse employee engagement surveys, while other departments have explored AI-powered insights through tools like Power BI. The partnership highlights ASOS’s commitment to adopting cutting-edge technologies to enhance its data-driven decision-making processes.
ASOS has been actively piloting AI solutions to improve various aspects of its business. A recent example is the use of Copilot in Power BI to summarise performance data, aiding the company in making informed decisions. The retailer’s AI Stylist, powered by Microsoft’s Azure OpenAI, also represents a key innovation, helping customers discover new fashion trends through a conversational interface.
The collaboration between ASOS and Microsoft is built on a strong foundation established in 2022 when ASOS chose Microsoft Azure as its preferred cloud platform. However, this extended partnership reflects ASOS’s dedication to innovation through safe and responsible experimentation, aiming to continue delivering personalised, data-driven services to its global customer base.
IBM has teamed up with WWF-Germany to develop an AI-driven solution aimed at safeguarding African forest elephants, a species facing severe threats from poaching and habitat loss. This new technology will use AI to accurately identify individual elephants from camera trap photos, enhancing conservation efforts and allowing for more precise tracking of these endangered animals.
The partnership will combine IBM’s technological expertise with WWF’s conservation knowledge to create an AI-powered tool that could revolutionise how elephants are monitored. By focusing on image recognition, the technology aims to identify elephants by their unique physical features, such as heads and tusks, much like human fingerprints.
Additionally, the collaboration will employ IBM Environmental Intelligence to monitor and analyse biomass and vegetation in elephant habitats. The data will be crucial in predicting elephant movements and assessing the ecosystem services provided by these animals, such as carbon sequestration. Such insights could also pave the way for sustainable finance investments by quantifying the carbon services offered by elephants.
IBM emphasised the broader potential of this initiative, highlighting its role in supporting nature restoration and contributing to global climate change efforts. By integrating advanced technology with conservation strategies, the partnership seeks to make a lasting positive impact on both the environment and sustainable development.
AI is rapidly transforming the landscape of scientific research, but not always for the better. A growing concern is the proliferation of AI-generated errors and misinformation within academic journals. From bizarrely inaccurate images to nonsensical text, the quality of published research is being compromised. Trend like this one is exacerbated by the pressure on researchers to publish prolifically, leading many to turn to it as a shortcut.
Paper mills, which generate fraudulent academic papers for profit, are exploiting AI to produce vast quantities of low-quality content. These fabricated studies, often filled with nonsensical data and plagiarised text, are infiltrating reputable journals. The academic publishing industry is struggling to keep pace with this influx of junk science, as traditional quality control measures prove inadequate.
Beyond the issue of outright fraud, the misuse of AI by well-intentioned researchers is also a problem. While AI tools can be valuable for tasks like data analysis and language translation, their limitations are often overlooked. Overreliance on AI can lead to errors, biases, and a decline in critical thinking. As a result, the credibility of scientific research is at stake.
To address this crisis, a multifaceted approach is necessary. Increased investment in detection tools, stricter peer review standards, and greater transparency in the research process are essential steps. Additionally, academic institutions must foster a culture that prioritises quality over quantity, encouraging researchers to focus on depth rather than speed. Ultimately, safeguarding the integrity of scientific research requires a collaborative effort from researchers, publishers, and the public.
Humanoid robots are poised to revolutionise industries, with tech giants leading the charge. Companies such as Nvidia and Tesla are at the forefront of developing these human-like machines, equipped with advanced AI. These robots are designed to perform complex tasks, from manufacturing to customer service.
The potential applications for humanoid robots are vast. Tesla aims to deploy them in its factories, while other companies are exploring their use in logistics and healthcare. As AI technology continues to evolve, these machines are becoming increasingly sophisticated, capable of learning and adapting to new tasks.
Why does this matter?
The development of humanoid robots represents a significant investment in the future. Companies like Nvidia are building entire ecosystems to support robotics innovation. While challenges remain, the potential benefits are enormous. As these machines become more prevalent, they could reshape the workforce and drive economic growth.
The race to develop the most advanced humanoid robot is heating up. With major players investing heavily in this technology, the future of work is changing rapidly.
OpenAI’s chief strategy officer, Jason Kwon, has expressed confidence that humans will continue to control AI, downplaying concerns about the technology developing unchecked. Speaking at an forum in Seoul, Kwon emphasised that the core of safety lies in ensuring human oversight. As those systems grow more advanced, Kwon believes they will become easier to manage, countering fears of them becoming uncontrollable.
The company is actively working on creating a framework that allows AI systems to reflect the cultural values of different countries. Kwon highlighted the importance of making certain models adaptable to local contexts, ensuring that users in various regions feel the technology is designed with them in mind. However, approach like this one aims to foster a sense of ownership and relevance across diverse cultures.
Despite some scepticism surrounding the future of AI, Kwon remains optimistic about its trajectory. He compared it’s potential growth to that of the internet, which has become an indispensable tool globally. While acknowledging that AI is still in its early stages, he pointed out that adoption rates are gradually increasing, with significant room for growth.
Kwon noted that in South Korea, a country with over 50 million people, only 1 million are daily active users of ChatGPT. Even in the US, fewer than 20 per cent of the population has tried the tool. Kwon’s remarks suggest that AI’s journey is just beginning, with significant expansion expected in the coming years.
Cisco is set to lay off thousands of employees in a second round of job cuts this year, focusing on restructuring towards higher-growth areas like cybersecurity and AI. The affected employees could match or exceed the 4,000 workers let go in February. The layoffs, expected to be announced with Cisco’s fourth-quarter results, are part of the company’s strategy to adapt to declining demand in its traditional networking equipment business.
As Cisco diversifies, it has completed a $28 billion acquisition of cybersecurity firm Splunk, aiming to shift more towards subscription services and reduce reliance on one-time equipment sales. The company is also heavily investing in AI, with a $1 billion fund launched in June to support AI startups and a goal of $1 billion in AI product orders by 2025.
These layoffs reflect broader cost-cutting measures in the tech industry, where over 126,000 jobs have been lost across 393 companies this year. Cisco’s stock has declined over 9% this year, partly due to challenges in its core business and the ongoing restructuring efforts.
One of the largest AI research organizations has appointed Zico Kolter, a distinguished professor and director of the machine learning department at Carnegie Mellon University, to its board of directors. Renowned for his focus on AI safety, Kolter will also join the company’s safety and security committee, which is tasked with overseeing the safe deployment of OpenAI’s projects. The appointment comes as OpenAI’s board undergoes changes in response to growing concerns about the safety of generative AI, which has seen rapid adoption across various sectors.
Following the departure of co-founder John Schulman, Kolter’s addition to the OpenAI board underscores a commitment to addressing these safety concerns. He brings a wealth of experience from his roles as the chief expert at Bosch and chief technical adviser at Gray Swan, a startup dedicated to AI safety. Notably, Kolter has contributed to developing methods that automatically assess the safety of large language models, a crucial area as AI systems become increasingly sophisticated. His expertise will be invaluable in guiding OpenAI as it navigates the challenges posed by the widespread use of generative AI technologies such as ChatGPT.
The formation of the safety and security committee in May, preceded by Ilya Sutskever‘s leaving, which includes Kolter alongside CEO Sam Altman and other directors, underlines OpenAI’s proactive approach to ensuring AI is developed and deployed responsibly. The committee is responsible for making recommendations on safety decisions across all of OpenAI’s projects, reflecting the company’s recognition of the potential risks associated with AI advancements.
In a related move, Microsoft relinquished its board observer seat at OpenAI in July, aiming to address antitrust concerns from regulators in the United States and the United Kingdom. This decision was seen as a step towards maintaining a balance of power within OpenAI, as the company continues to play a leading role in the rapidly evolving AI landscape.
Palantir Technologies announced plans to offer its AI Platform on Microsoft Azure, catering to US government agencies such as the Department of Defense. The collaboration involves deploying Palantir’s ‘Gotham’ software, known for its battlefield applications, on Microsoft’s secure cloud platforms, including Azure Government and Azure Government Secret.
Palantir will also be the first to deploy Microsoft Azure OpenAI Service in classified environments. The service provides access to advanced language models like GPT-4, enhancing the capabilities of defence and intelligence operations. Palantir’s AIP, which is designed for testing, debugging, and evaluating AI scenarios, will be available across various defence and intelligence sectors.
The availability of these AI tools is contingent upon government authorisation and accreditation. Palantir’s significant revenue from government contracts, with over 40% coming from the US government, highlights the importance of this partnership. The company, co-founded by Peter Thiel, has strong ties to government agencies, with early backing from the CIA’s venture arm, In-Q-Tel.
In addition to their AI offerings, Palantir and Microsoft plan to run bootcamps aimed at promoting these new services within the defence and intelligence communities.
