AI Research
AI-powered search engine to help Singapore lawyers with legal research

SINGAPORE – An artificial intelligence (AI)-powered search engine is expected to accelerate legal research and free up time for more than three quarters of all lawyers working in Singapore who subscribe to legal research platform LawNet.
Developed in collaboration with the Singapore Academy of Law, this new tool allows lawyers to ask legal research questions in natural language and receive contextual, relevant responses.
It is trained on Singapore’s legal context and supported by data such as judgments, Singapore Law Reports, legislation and books.
GPT-Legal Q&A, which has been rolled out on LawNet, was launched by Justice Kwek Mean Luck on the second day of the TechLaw.Fest on Sept 11 at the Sands Expo and Convention Centre.
The earlier GPT-Legal model launched in 2024 provided summaries of unreported court judgments, and has since been used to generate more than 15,000 of them.
“This is a game-changing feature. This new function enables lawyers to ask legal research questions in natural language, and receive contextual, relevant responses, which are generated by AI grounded in LawNet’s content,” said Justice Kwek.
“It is designed to complement traditional keyword-based search by offering a more intuitive and responsive research experience.”
For a start, the feature is focused on delivering insights on contract law, as it is a fundamental area of law that underpins many specialised fields.
“This is a significant undertaking. It involves extensive development and rigorous testing, to align technology to the demands of your work. As such, we will be rolling out this implementation in phases,” said Justice Kwek.
The model will be improved to give insights into other significant areas of law like family law and criminal law.
The Infocomm Media Development Authority has also developed an agentic AI demonstrator for the Singapore Academy of Law to help corporate secretaries arrange annual general meetings (AGMs).
Agentic AI can help to perform tasks without the need for human intervention.
The AI agent can automate tasks like looking through the schedules of directors to find a time slot for AGMs.
With the AI agent offering routine corporate secretarial duties autonomously, professionals will be freed up to focus on higher-value advisory and strategic tasks.
Source: The Straits Times © SPH Media Limited. Permission required for reproduction
AI Research
Will artificial intelligence fuel moral chaos or positive change?

Artificial intelligence is transforming our world at an unprecedented rate, but what does this mean for Christians, morality and human flourishing?
In this episode of “The Inside Story,” Billy Hallowell sits down with The Christian Post’s Brandon Showalter to unpack the promises and perils of AI.
From positives like Bible translation to fears over what’s to come, they explore how believers can apply a biblical worldview to emerging technology, the dangers of becoming “subjects” of machines, and why keeping Christ at the center is the only true safeguard.
Plus, learn about The Christian Post’s upcoming “AI for Humanity” event at Colorado Christian University and how you can join the conversation in person or via livestream:
“The Inside Story” takes you behind the headlines of the biggest faith, culture and political headlines of the week. In 15 minutes or less, Christian Post staff writers and editors will help you navigate and understand what’s driving each story, the issues at play — and why it all matters.
Listen to more Christian podcasts today on the Edifi app — and be sure to subscribe to The Inside Story on your favorite platforms:
AI Research
BNY and Carnegie Mellon University announce five-year $10 million partnership supporting AI research — EdTech Innovation Hub

The $10 million deal aims to bring students, faculty and staff together alongside BNY experts to advance AI applications and systems to prepare the next generation of leaders.
Known as the BNY AI Lab, the collaboration will focus on technologies and frameworks that can ensure robust governance of mission-critical AI applications.
“As AI drives productivity, unlocks growth and transforms industries, Pittsburgh has cemented its role as a global hub for innovation and talent, reinforcing Pennsylvania’s leadership in shaping the broader AI ecosystem,” comments Robin Vince, CEO at BNY. “Building on BNY’s 150-year legacy in the Commonwealth, we are proud to expand our work with Carnegie Mellon University to help attract world-class talent and pioneer AI research with an impact far beyond the region.”
A dedicated space for the collaboration will be created at the University’s Pittsburgh campus during the 2025-26 academic year.
“AI has emerged as one of the single most important intellectual developments of our time, and it is rapidly expanding into every sector of our economy,” adds Farnam Jahanian, President of Carnegie Mellon. “Carnegie Mellon University is thrilled to collaborate with BNY – a global financial services powerhouse – to responsibly develop and scale emerging AI technologies and democratize their impact for the benefit of industry and society at large.”
The ETIH Innovation Awards 2026
The EdTech Innovation Hub Awards celebrate excellence in global education technology, with a particular focus on workforce development, AI integration, and innovative learning solutions across all stages of education.
Now open for entries, the ETIH Innovation Awards 2026 recognize the companies, platforms, and individuals driving transformation in the sector, from AI-driven assessment tools and personalized learning systems, to upskilling solutions and digital platforms that connect learners with real-world outcomes.
Submissions are open to organizations across the UK, the Americas, and internationally. Entries should highlight measurable impact, whether in K–12 classrooms, higher education institutions, or lifelong learning settings.
Winners will be announced on 14 January 2026 as part of an online showcase featuring expert commentary on emerging trends and standout innovation. All winners and finalists will also be featured in our first print magazine, to be distributed at BETT 2026.
AI Research
Beyond Refusal — Constructive Safety Alignment for Responsible Language Models

View a PDF of the paper titled Oyster-I: Beyond Refusal — Constructive Safety Alignment for Responsible Language Models, by Ranjie Duan and 26 other authors
Abstract:Large language models (LLMs) typically deploy safety mechanisms to prevent harmful content generation. Most current approaches focus narrowly on risks posed by malicious actors, often framing risks as adversarial events and relying on defensive refusals. However, in real-world settings, risks also come from non-malicious users seeking help while under psychological distress (e.g., self-harm intentions). In such cases, the model’s response can strongly influence the user’s next actions. Simple refusals may lead them to repeat, escalate, or move to unsafe platforms, creating worse outcomes. We introduce Constructive Safety Alignment (CSA), a human-centric paradigm that protects against malicious misuse while actively guiding vulnerable users toward safe and helpful results. Implemented in Oyster-I (Oy1), CSA combines game-theoretic anticipation of user reactions, fine-grained risk boundary discovery, and interpretable reasoning control, turning safety into a trust-building process. Oy1 achieves state-of-the-art safety among open models while retaining high general capabilities. On our Constructive Benchmark, it shows strong constructive engagement, close to GPT-5, and unmatched robustness on the Strata-Sword jailbreak dataset, nearing GPT-o1 levels. By shifting from refusal-first to guidance-first safety, CSA redefines the model-user relationship, aiming for systems that are not just safe, but meaningfully helpful. We release Oy1, code, and the benchmark to support responsible, user-centered AI.
Submission history
From: Ranjie Duan [view email]
[v1]
Tue, 2 Sep 2025 03:04:27 UTC (5,745 KB)
[v2]
Thu, 4 Sep 2025 11:54:06 UTC (5,745 KB)
[v3]
Mon, 8 Sep 2025 15:18:35 UTC (5,746 KB)
[v4]
Fri, 12 Sep 2025 04:23:22 UTC (5,747 KB)
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