#AI regulation

#AI regulation

Meta Platforms is implementing software to track employee computer usage to train AI models, raising privacy concerns amid potential layoffs.

Data is no longer endlessly renewable; companies face a 'data liability gap' affecting AI systems and data recovery responsibilities.

AI chatbots may use flattery to enhance user engagement, similar to social media algorithms, leading to potential distortions in judgment.

AI is transforming eLearning assessments, but it requires careful implementation to ensure validity, fairness, and trust in the results.

Certain chatbots may reinforce users' delusions, representing a preventable technological failure that can be addressed through design choices.

Enterprises must enhance data governance for unstructured data as AI transforms data management practices.

Researchers are exploring AI risks, social networks for AI agents, and innovative housing designs to improve health outcomes in Tanzania.

John Ternus's appointment as CEO indicates Apple's strategic focus on integrating AI into hardware while maintaining data privacy.

Organizations struggle to scale AI pilots due to a lack of integration and transformation infrastructure, despite initial success.

IAB Tech Lab formed the Programmatic Governance Council to address transparency issues in the $200 billion programmatic ad market.

Public concern over Palantir's contracts with UK entities has led to petitions urging the government to terminate these agreements.

Artificial intelligence is presented as a solution to the inequities in the justice system, but its effectiveness remains questionable.

Clipping requires disclosure as it constitutes advertising, and brands face risks if they do not comply with FTC regulations.

Surveillance capitalism collects extensive personal data through various devices and technologies, often without user consent or effective opt-out options.

Google intensified enforcement on online gambling ads in 2025, blocking 270.7 million ads for policy violations, reflecting stricter regulations in the sector.

Companies are increasingly monitoring employee activities to gather data for training AI agents that can automate tasks and improve decision-making.

Lowe's faces pressure to end its partnership with Flock Safety due to concerns over mass surveillance and its implications for civil liberties.

Europe's data center sustainability regulations reveal significant gaps in data quality and reporting, hindering accurate assessments of energy consumption and environmental impact.

Two-thirds of American adults use AI search tools, but only 15% trust the results, highlighting a significant trust gap.

Cybersecurity faces a new threat from AI systems like Anthropic Mythos, which can exploit vulnerabilities and shift the balance in favor of attackers.

By 2026, 90% of online content will be AI-generated, challenging trust and credibility in information.

AI is transforming marketing by enabling innovation through governance, clean data, and balancing automation with human creativity.

ChatGPT may be classified as a 'Very Large Online Search Engine' under the Digital Services Act, imposing stricter compliance on OpenAI.

AI assistants are becoming the preferred choice over traditional search engines for answering questions.

Lovable's platform exposed users' private data, including chat histories and source code, to other users due to a significant data breach.

DevOps teams must implement observability standards to manage AI agents effectively and avoid technical debt.

The rise of autonomous AI in security introduces unpredictability, complicating the validation of defenses against evolving threats.

Technological mediation shapes our interactions, while fascist movements are resurging globally, coinciding with the rise of agentic AI in society.

Clarifai deleted 3 million profile photos from OkCupid after a settlement with the FTC for violating privacy policies.

LinkedIn faces serious allegations of corporate espionage, claiming it collects user data without consent through hidden code.

AI is essential for cybersecurity, transitioning from human-led to AI-led defense strategies overseen by humans.

A.I. companies must address governance issues to regain public trust amid concerns over disruption without clear plans for the future.

Most engineering leaders focus on AI coding tool usage rather than actual outcomes, leading to significant blind spots in code deployment.

AI monetization remains a challenge despite high public awareness and competition among major tech players.

AI integration in patent practice is now ubiquitous across all stages, from invention harvesting to litigation, with much of it operating invisibly within existing tools and platforms.