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

These AI assistants were designed and trained predominantly using voices that reflect specific linguistic norms, leading to ...

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 ...

One pervasive issue is racial bias, where AI systems struggle to address questions related to communities of color accurately ...

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 ...

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

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 ...

Artificial intelligence (AI) has the power to revolutionize various sectors. However, AI systems are often flawed by biases ...

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 ...