It's on company leaders and managers to ensure AI accountability. All companies should continually consider creating policies ...

Cultural values and traditions differ across the globe, but large language models (LLMs), used in text-generating programs such as ChatGPT, have a tendency to reflect values from English-speaking and ...

Smart manufacturing allows you to shift some of your decision-making from trained people to data analytics and software. But ...

Data is the cornerstone of all AI systems ... seemingly innocent variables can inadvertently act as proxies for sensitive information, introducing bias into AI systems. For example, a postal code may ...

The field of artificial intelligence is changing rapidly, with machine learning models becoming increasingly complex and ...

“Responsible AI” encompasses a wide range of topics, from data quality and model explainability to governance and regulatory ...

These hallucinations could be also caused by training data bias or inaccuracies, overfitting, and the high complexity of the AI model. A famous example is Microsoft’s Sidney AI which admitted to ...

Furthermore, due to the AI's inherent tendency to generate outputs that align with the "average" result, models typically ...

Artificial Intelligence (AI) has rapidly transitioned from science fiction to reality, reshaping industries, enhancing ...

Artificial intelligence (AI), particularly generative AI (gen AI), is rapidly reshaping industries and decision-making ...

As businesses turn to an imperfect AI for efficiency and accuracy, users must ensure they take responsibility for preventing ...