The PDPC and IMDA with the advice the Advisory Council on of the Ethical Use of AI and Data proposes this voluntary Model Framework as a general, ready-to-use tool to enable reponsible deployment of AI solutions by organisations.
The issues to be considered include continuing service requirements, data security and privacy, knowledge and documentation transfer and the costs of transition.
Clicks @ State Courts will open in Q1 2020, about the same time the new building is expected to be operational.
The use of artificial intelligence software to identify possible items of concern in legal documents is well established. However, the real possibilities are only now being opened up with a new generation of systems.
Helps grow and manage the FLIP community by developing and implementing activities that connect with our members and partners.
Develop LawNet by horizon-scanning for the latest legal technology developments and market intelligence within Singapore and globally to identify and translate opportunities to enhance LawNet legal research.
Will technology transform the legal sector? It's arguable.
The ensuring discussion is also relevant when an organisation undertakes the deployment of AI technology through its in-house IT department.
It says the existing practice where details provided in bills vary across service providers has to be addressed
Legal experts and computer scientists are developing tools they believe will give lawyers an edge by data-mining past decisions to predict judicial outcomes.
This article summarises the challenges that AI brings to dispute resolution lawyers.
The key changes are intended to reflect the Telecommunications Act amendments introduced in 2017, as well as to keep pace with market and technology developments.
SGX RegCo’s main concern is how the issuer safeguards its own interest and that of its shareholders when it conducts an ICO.
The Guide provides general guidance on the application of the securities laws in relation to offers or issues of digital tokens in Singapore.
The document sets out 14 principles for firms to consider when assessing existing or developing new internal frameworks to govern the use of AI and data analytics.
The writer seeks to find a balance between mitigating enterprise failure risk and financial loss to the public consumer with reasonable protection to the consumer.