Artificial intelligence (AI) has become such a part of our daily lives that it’s hard to avoid – even if we might not recognise it. While ChatGPT and the use of algorithms in social media get ...

Technology is changing everything, including the legal world. From healthcare to finance, digital tools have improved ...

While generative AI propels innovation across sectors such as education, entertainment and data analysis, its promise is counterbalanced by critical privacy and legal concerns. 1.

Data collection. This is one of the primary stages in which AI bias can occur. If the data used to train an AI algorithm is not diverse or representative, the resulting outputs may be biased.

In legal finance, AI is being leveraged in various ways to enhance processes such as sourcing investments, and to a lesser extent, help to make investment decisions and predicting case outcomes.

The law attempts to address the data used to train insurers’ algorithms. “AI tools are only as accurate as the data and algorithm inputs going into them,” wrote Carmel Shachar, JD, MPH, Amy ...

ARTIFICIAL intelligence (AI) is set to be integrated into the legal system with the introduction of the “Roadmap to My Digital Justice” next year, says Datuk Seri Azalina Othman Said.

The driving force behind the most advanced AI models is an extraordinary volume of data, which is processed to identify patterns, train machine learning algorithms, and refine predictive capabilities.

In a traditional setting, confidentiality is protected by professional codes and legal frameworks. But with AI, especially when it's cloud-based or connected to larger systems, data security ...