Streaming Media Connect 2025 hosted an insightful session on generative AI’s impact in news, sports, and entertainment, moderated by Brian Ring. Industry experts, including Andy Beach and Pete Scott, discussed crucial topics like ethical AI usage, AI dubbing challenges, and the future of personalized content. They emphasized the need for a balance between automation and ...
The Responsible AI Institute (RAI Institute) is stepping up to shape the future of AI use, addressing new challenges in regulation and technology. On February 19, 2025, they announced their shift from policy advocacy to practical actions to support responsible AI adoption. With new partnerships and collaborations with universities in the U.S., U.K., and India, ...
The rise of AI technology has brought about significant concerns regarding accountability, especially after incidents like the airline’s obligation to honor misleading chatbot pricing. As AI systems become more autonomous, determining who is responsible for their decisions becomes challenging. Companies must prioritize AI accountability to build trust, ensure compliance, and mitigate legal risks. Establishing clear ...
As artificial intelligence (AI) becomes more integrated into business operations, accountability for its decisions is increasingly crucial. The case of an airline having to honor incorrect fare terms given by a chatbot highlights the need for clear responsibility when AI makes mistakes. To ensure AI accountability, companies should establish well-defined chains of responsibility, create systems ...
AI agents are becoming a significant technological advancement, similar to the rise of generative AI. These autonomous systems can make decisions and perform tasks with little human input. While they offer numerous benefits across various sectors like finance, healthcare, and customer service, they also come with risks and challenges. Organizations need to evaluate their risk ...
LG AI Research is addressing the growing concerns around the legal and ethical implications of AI training datasets with its innovative Agent AI system. This technology efficiently tracks the lifecycle of datasets used in AI models, ensuring compliance and identifying potential legal risks. With its three core modules, Agent AI can analyze complex dataset relationships ...
A recent DataStax survey highlights the growing concerns among developers about trusting and managing autonomous AI agents. Nearly half of respondents expressed worries about the ethical implications and safety of deploying these systems. While 32% hesitate due to trust issues, 64% are comfortable with agents making low-risk decisions. Many see AI as a tool to ...
Artificial intelligence (AI) is rapidly evolving, transforming how businesses operate. By 2025, five key themes will shape AI’s impact, including the rise of advanced AI agents that can autonomously manage complex tasks, making routine work more efficient. Companies will increasingly leverage unique data for better AI models, shifting from simple use cases to comprehensive business ...
Business leaders are eager to use large language models (LLMs) to improve productivity and cut costs. However, they need to go beyond just LLM-powered chatbots like ChatGPT and understand AI agents for real transformation. AI agents are smart systems that perform specific tasks autonomously, able to learn and adapt from experiences. Unlike LLMs, which mainly ...
Business leaders aiming to improve productivity and cut costs should look beyond chatbots like ChatGPT and focus on AI agents. These autonomous systems can perform specific tasks without human help, offering proactive problem-solving capabilities. While large language models (LLMs) excel in conversation, AI agents can understand issues and take necessary actions to resolve them. For ...
