Content Fans

Category

Business & Ethical AI

Pieces on AI’s impact on business processes, ROI, leadership decisions, plus the risks, ethics, and reliability of these technologies.

359 articles • Page 12 of 24

UK Regulator Opens Antitrust Probe Into Microsoft's Business Software

UK Regulator Opens Antitrust Probe Into Microsoft's Business Software

The UK's Competition and Markets Authority (CMA) has opened an investigation into whether Microsoft's bundling of products like Windows, Word, Excel, Teams, and Copilot may hurt competition. The CMA said that Microsoft's cloud licensing and product integrations might limit customer choice and make it hard for other tools to work with Microsoft's software. The investigation will look at both technical and contract issues, including how embedding Copilot may give Microsoft an early advantage in AI tools. The case may lead to new rules for Microsoft, but the outcomes could focus on changing behaviors rather than breaking up the company. The fact-finding will continue into late 2026, with decisions expected by early 2027.

New AI Compliance Checklist Secures Regulated Workflows for Hospitals, Brokerages

New AI Compliance Checklist Secures Regulated Workflows for Hospitals, Brokerages

The new AI compliance checklist may help hospitals, brokerages, and insurers follow important security and privacy rules when using AI. It suggests making sure each AI agent has its own identity, keeping detailed records of what agents do, and limiting the data they can see. The checklist also says that humans should double-check risky actions and that companies should be ready to quickly handle any problems with AI. This playbook appears to offer a helpful starting point, but it might not solve all possible risks regulators are looking at.

Google vet unveils 3-pillar AI paywall to fix freemium's GPU problem

Google vet unveils 3-pillar AI paywall to fix freemium's GPU problem

Vikas Kansal, who worked on Google Gemini, suggests that old "freemium" pricing does not work well for AI apps because every user action costs a lot in GPU usage. His three-pillar framework may help by putting limits on how much people can use, what special features they get, and the most expensive tools like video rendering. This approach might let companies control costs and still offer some free access. Early signs suggest that more companies are trying mixed pricing based on real computing used, and this could lead to more stable profits. The framework appears to help balance free use for many with the need to pay for heavy or advanced use.

Enterprises Adopt 4 Controls for AI Agent Governance, Compliance

Enterprises Adopt 4 Controls for AI Agent Governance, Compliance

Enterprises may need to use four main controls to manage risks and compliance when using cloud-based AI agents. First, before deployment, they should map all data sources accessed by the agent and confirm legal bases for using each type of data. Second, during operations, organizations might set up strict controls like filtering out data without consent, encrypting data, and using automated redaction and strong access controls. Third, continuous monitoring and logging appear to help maintain security and traceability, with periodic permission reviews and audit trails for incident response. Finally, having a clear exit plan, including secure data deletion and export, is suggested to ensure proper closure at the end of a vendor relationship.

HR adopts checklist for safe AI use with employee data

HR adopts checklist for safe AI use with employee data

HR leaders are rapidly adding AI tools to their work, but this may risk exposing personal employee data. A checklist is suggested to help HR teams safely use AI by first reviewing policies and legal issues, mapping data, limiting data use, informing workers, testing for bias, and controlling vendors. Legal reviews may be required under upcoming laws and existing regulations. The checklist offers steps to create records showing that HR considered risks before using AI, but it does not guarantee full compliance. Careful following of these steps may help build trust and provide proof if questions arise later.

Breakthru Beverage acquires RNDC's Kentucky, Indiana businesses, creating $8.7 billion entity

Breakthru Beverage acquires RNDC's Kentucky, Indiana businesses, creating $8.7 billion entity

Breakthru Beverage is set to buy RNDC's businesses in Kentucky and Indiana, which may make Breakthru a much bigger company with about $8.7 billion in sales and operate in 18 states. The deal is expected to close in early Q3 2026. This change may mean fewer wholesalers in Kentucky and Indiana, so Breakthru could become the main choice for many wine and spirits brands there. There may be some short-term problems, like stock shortages and unclear pricing changes, and Breakthru has not said how many RNDC employees might stay on. Independent stores and small producers might face new challenges, while big chains could benefit from simplified services.

ServiceNow previews AI Control Tower for safe agentic AI

ServiceNow previews AI Control Tower for safe agentic AI

ServiceNow introduced its AI Control Tower, which may help organizations manage and secure AI agents more safely. The platform suggests using zero-trust identity, real-time monitoring, and human oversight to limit risks, like accidental deletions or unauthorized actions. It also appears to detect unauthorized AI agents and allows teams to stop unsafe behavior quickly. Companies tracking their AI agents through this system may see better results and fewer policy violations, according to early reports. The guidance emphasizes scaling controls based on the risk level and keeping a clear record of all actions.

Pentagon Clears 8 Tech Firms for Classified AI Use in 2026

Pentagon Clears 8 Tech Firms for Classified AI Use in 2026

The Pentagon has approved eight big tech companies, like Google and Amazon, to use their AI on classified military networks in 2026. This may bring new risks, such as over-reliance on a few companies and worries about how secure or ethical these systems are. Some employees at companies like Google and OpenAI have raised concerns about how the AI might be used and if there are enough rules to prevent misuse, especially for weapons or surveillance. Experts suggest that new rules and checks are being put in place, but it appears there are still debates about how well these will work and how much risk remains.

Governments now audit AI's 'invisible' political realities

Governments now audit AI's 'invisible' political realities

Governments have started to audit how AI systems make technical decisions that can shape policy and society. Since 2024, agencies may check how categories, data labels, and thresholds in AI systems are chosen, since these can quietly influence political outcomes. Audits now often look at four layers: governance, data, performance, and monitoring, and laws like New York City's Local Law 144 require special bias checks. Studies suggest there are still problems, such as missing bias metrics and weak monitoring after launch. Experts suggest that ongoing audits, clear rules, and showing proof of fixes are needed, and that real accountability might come from careful oversight, not promises of perfect fairness.

HBR: Treating AI agents as employees cuts quality, blurs accountability

HBR: Treating AI agents as employees cuts quality, blurs accountability

A Harvard Business Review study suggests that treating AI agents like employees may lower quality control and make it harder to know who is responsible for mistakes. Managers who did this appeared to find fewer errors and blamed algorithms more often. The study found that people sometimes skipped important checks because they expected the AI to catch problems. The findings suggest that companies should have clear steps, human checkpoints, and clear ownership when using AI agents. Following these steps may help keep accountability clear and reduce mistakes.

ServiceNow Details 6 Ways to Build Safe Agentic AI

ServiceNow Details 6 Ways to Build Safe Agentic AI

ServiceNow outlines six ways that may help make agentic AI assistants safer, since these systems can quickly cause big problems if not controlled. The guide suggests limiting each agent's access, putting humans in review loops for risky actions, and always keeping a way to pause or undo steps. It also recommends recording all actions for later checks, following outside rules like the EU AI Act, and practicing emergency shutdowns. These steps may not remove all risks but appear to make dangerous actions slower and easier to catch.

OpenAI adopts new bylaws, requiring two-thirds vote to fire CEO

OpenAI adopts new bylaws, requiring two-thirds vote to fire CEO

OpenAI changed its rules to require a two-thirds vote from non-employee directors to fire the CEO, which may make it harder to remove top leaders. This change was not made public until it appeared in court documents related to Elon Musk's lawsuit and OpenAI has not answered questions about when or why the rule was adopted. After Sam Altman was briefly fired and then quickly reinstated in November 2023, OpenAI's board reviewed its rules and made several governance changes, but there are still questions about how the supermajority rule works. Reports suggest OpenAI plans to change its business structure, but it is unclear how new rules will affect future leadership or decisions. Some experts say courts tend to let boards decide on such matters, so future challenges may depend on how the process was handled.

Publishers Adopt Matrix Model to Forecast Steam Game Sales

Publishers Adopt Matrix Model to Forecast Steam Game Sales

Publishers are starting to use a matrix model that combines several factors, such as demo play, community activity, and influencer interest, to better predict first-week Steam game sales. This method may give a more accurate risk profile than just looking at wishlists, especially since big campaigns often gather wishlists from people who never buy. The model uses weights for different signals, which can be changed for different game types and audiences. It also has ways to handle unusual spikes or drops in the data. Experts suggest the main value of this approach is to give a clearer, data-based reason for spending on launches, even if predictions are not perfect.

CFOs Adopt New Frameworks to Balance AI Costs and Productivity

CFOs Adopt New Frameworks to Balance AI Costs and Productivity

CFOs are adopting new rules to watch AI costs and keep productivity high. Surveys suggest that most finance leaders see AI as very important, but there is uncertainty about how to control spending and measure returns. Experts recommend clear policies, named owners for each AI system, and regular checks to avoid extra costs from unused models. Many companies now track AI spending closely and may use special profit and loss statements to understand the real costs. Ongoing monitoring and regular reviews appear to help avoid hidden expenses and keep AI projects useful.

Anthropic, Costco Adopt 5 Strategies to Protect Company Mission

Anthropic, Costco Adopt 5 Strategies to Protect Company Mission

Anthropic, Costco, and Novo Nordisk use formal rules to keep their company missions strong, even when short-term profits might compete with long-term goals. They use tools like special voting shares, benefit corporation charters, foundation ownership, strict rules for changing company purpose, and special board committees. Evidence suggests these methods may help protect mission, but some investors seem unsure and certain stock indexes might exclude companies with unequal voting rights. Research also suggests that benefit corporation status alone may not fully protect a company's purpose. Experts say it is often easier and cheaper to these rules early, before taking outside investment.