AI can perceive but not think—highlighting the power of curiosity. Businesses must balance AI-driven insights with the ability to ask "why" and challenge assumptions.

Authored by Baker Tilly's Mike Cullen, Himanshu Sharma CHICAGO, IL / ACCESS Newswire / February 6, 2025 / Audit, risk and compliance officers understand that artificial intelligence is here to stay.

Transparency, fairness and cybersecurity form the backbone of responsible AI, each essential to building trust and enabling impactful outcomes.

The S1-32B AI model, developed by the researchers, is said to closely match the performance of OpenAI’s o1 model.

The integration of XAI methods not only improves transparency but also fosters trust among farmers and agricultural experts.

A new study by SRH University emphasises the benefits of explainable AI systems for the reliable and transparent detection of deepfakes. AI decisions can be presented in a comprehensible way through ...

A new study highlights the growing risks of bias in large language models (LLMs) as they become cheaper and widely used, calling for ethical AI policies to ensure fairness and transparency.

Curtin University's Associate Professor Anthony Kicic is one of four innovators to share in nearly $2 million for projects harnessing generative artificial intelligence applications to drive ...

In a new paper published in Nature Geoscience, experts from Fraunhofer Heinrich-Hertz-Institut (HHI) advocate for the use of ...

Generative AI tools like ChatGPT, DeepSeek, Google's Gemini and Microsoft's Copilot are transforming industries at a rapid ...

Beyond improving accuracy, xAI allowed researchers to compare prognostic markers across different cancer types, unveiling ...

Neither the public or the tech giants pushing artificial intelligence understand its long-term implications, warns former ...