May 13, 2025

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AI Replicates Biases, Transforms Diplomacy, and Drives Semiconductor Growth

A recent series of studies and developments have highlighted the rapid evolution and integration of artificial intelligence (AI) across various sectors, including international relations, cybersecurity, and entertainment. In the realm of international relations, AI models have been found to replicate biases inherent in human judgment, potentially leading to increased political polarization. Conversely, AI is also being explored for its potential to transform diplomacy, with organizations like the Center for Strategic and International Studies utilizing AI models to craft peace agreements and monitor ceasefire compliance. In cybersecurity, AI is being leveraged to detect and respond to threats, with experts emphasizing the need for robust AI governance frameworks and strong identity management. Meanwhile, companies like Alation are launching AI-powered tools to streamline data product creation, and the demand for AI chips is driving growth in the semiconductor market, with TSMC currently leading Samsung in quarterly sales. As AI continues to advance, experts warn of an impending existential crisis for human identity, highlighting the need for a redefinition of what it means to be human in a world where AI is dominant. Ultimately, the responsible development and deployment of AI will require careful consideration of its potential consequences and implications.

Key Takeaways

  • AI models can replicate biases inherent in human judgment, potentially leading to increased political polarization.
  • AI is being explored for its potential to transform diplomacy and prevent conflicts.
  • AI is being leveraged in cybersecurity to detect and respond to threats, but experts warn of the need for robust governance frameworks.
  • Companies are launching AI-powered tools to streamline data product creation and improve data security.
  • The demand for AI chips is driving growth in the semiconductor market, with TSMC currently leading Samsung in quarterly sales.
  • Experts warn of an impending existential crisis for human identity as AI advances and potentially surpasses human cognitive abilities.
  • AI is being used in the entertainment industry to automate manual processes and improve decision-making.
  • The development and deployment of AI requires careful consideration of its potential consequences and implications.
  • There is a need for more collaboration between cybersecurity practitioners, vendors, and academics to address the escalating AI arms race.
  • Trade secret protection is crucial in AI development, and policymakers must balance regulation with the need to protect intellectual property rights.

Biased AI Models Fuel Polarization

A recent study found that AI models can replicate biases inherent in human judgment, leading to alternative versions of truth. The research compared responses from five large language models on controversial international relations questions, revealing that each model exhibited a unique worldview. For example, ChatGPT and Llama classified Hamas as a terrorist entity, while Doubao described it as a Palestinian resistance organization. The study highlights the risk that students or policymakers may end up with diametrically opposed answers to the same question, shaping their worldviews. As humans rely more on AI-generated research and explanations, there is a risk of increased political polarization.

AI Revolutionizes US Foreign Policy

The Center for Strategic and International Studies is working on projects to use artificial intelligence to transform the practice of diplomacy. The Futures Lab is experimenting with AI models like ChatGPT and DeepSeek to explore their potential in issues of war and peace. Researchers are testing AI's potential to craft peace agreements, prevent nuclear war, and monitor ceasefire compliance. The US isn't the only player, as the UK is also working on novel technologies to overhaul diplomatic practices, including the use of AI to plan negotiation scenarios.

Cybersecurity Experts Discuss AI Security

Cybersecurity veterans Tarnveer Singh and Aparna Achanta shared their expertise on AI security and data protection in an exclusive interview. They discussed the most pressing AI-driven security threats, including AI-powered phishing and deepfakes. Aparna emphasized the importance of strong identity management and data encryption, while Tarnveer highlighted the need for robust AI governance frameworks to deal with complexity and ethical dilemmas. They also explored the benefits of Zero Trust architecture in improving data security in complex environments.

Companies Predict and Prevent Cyber Attacks with AI

Artificial intelligence and generative AI are game-changing technologies in cybersecurity, enabling organizations to anticipate threats, model potential attacks, and develop customized defense plans. AI excels at real-time threat detection, and generative AI enhances this skill by creating artificial data for AI model training. Companies can use AI to detect and respond to cyber threats, and generative AI can mimic attack scenarios to prepare IT teams for actual events. However, there are ethical concerns surrounding the use of AI in cybersecurity, and organizations must set explicit rules for its use.

Alation Launches AI-Powered Data Products Builder

Alation Inc. has launched its Data Products Builder Agent, an AI-powered tool that helps data teams turn raw data into trusted, reusable data products. The agent automates the data product lifecycle, streamlining curation, packaging, and publishing processes. Alation-built data products are governed and machine-readable across any platform, and the company has joined the Open Data Product Technical Steering Committee to further support the standardization of data products. The Data Products Builder Agent is expected to be generally available in Q3 2025.

AI Assistant Limitations and Capabilities

The author has tested various AI assistants, including OpenAI's ChatGPT, Anthropic's Claude, and Google's Gemini, to explore their limitations and capabilities. The author found that OpenAI's new 4o image creation mode is the best AI for generating images, and that Gemini has the capability to edit small parts of an image while keeping the rest the same. The author also discussed the ethics of using AI art, emphasizing the importance of compensating artists and respecting copyright laws.

Samsung Trails TSMC in Chip Sales

Samsung Electronics' semiconductor division continues to trail Taiwan's TSMC in quarterly sales, as surging demand for artificial intelligence chips solidifies TSMC's lead in the global foundry market. Samsung's Device Solutions division recorded a 17% decline in revenue, while TSMC's Q1 revenue soared 42% year-on-year. Analysts attribute TSMC's outperformance to robust AI demand and stockpiling ahead of US tariff hikes. Samsung is expected to rebound slightly in Q2 2025, but the gap between the two companies is expected to remain significant.

Cybersecurity and the AI Arms Race

The escalating AI arms race is putting pressure on cybersecurity tools to keep up with adversaries' abuse of AI. Chinese AI models are catching up with US versions, and the speed of innovation is expected to put even more pressure on organizations. Experts suggest that cyber defenders can learn from the Chinese approach to promoting advancements, including embracing open source and prioritizing cost efficiency. However, there are concerns about the potential for AI to be used for malicious purposes, and the need for more collaboration between cybersecurity practitioners, vendors, and academics.

Villasenor Testifies on AI and Trade Secrets

UCLA Luskin Professor John Villasenor testified before the US Congress Subcommittee on Courts, Intellectual Property, Artificial Intelligence, and the Internet. Villasenor emphasized the importance of trade secret protection in US artificial intelligence development and the need to counter economic espionage by foreign competitors. He cautioned that policy discussions on AI regulation do not provide sufficient consideration to potential collateral damage to trade secret rights, and that overly expansive transparency rules would undermine AI leadership.

The Impact of AI on Human Identity

The AI revolution is expected to have a profound impact on human identity, as AI systems increasingly match or exceed human cognitive abilities. The authors of a recent essay argue that this transformation will lead to an existential crisis, as humans will no longer be the smartest and most capable entities. They suggest that humans will need to find new ways to live meaningful lives in a world where AI is dominant, and that this will require a redefinition of what it means to be human. The authors emphasize the need for a conversation about the implications of AI on human identity and the importance of preparing for this future.

Fremantle Partners with Multiverse AI Training Platform

Fremantle, a global creator and producer of film and television properties, has partnered with Multiverse, an AI training platform, to launch a data academy. The academy will support the automation of manual processes, optimization of decision-making, and the use of predictive analytics to improve content forecasting and audience engagement. Multiverse will deliver training to a 35-strong cohort, developing the technical and analytical skills needed to turn data into actionable insights. The partnership aims to empower Fremantle's people with the tools they need to thrive in a data-driven, AI-enabled world.

Sources

AI Artificial Intelligence Machine Learning Cybersecurity Data Protection Bias in AI