Description

Table of Contents

1 | Role of Artificial Intelligence 101

What’s the role of a technology like artificial intelligence, in government, private and not-for-profit settings?

2 | Ethics of Artificial Intelligence 101

What are the most universally applicable principles of ethics of artificial intelligence that one must be aware while participating in research?

3 | Indo-Pacific Principles of Legal and Policy Writing

Seven principles on how to engage in effective, brief and topic-focused legal and policy writing.

4 | Indo-Pacific Research Principles on Use of Large Reasoning Models

Twelve principles on how to use and how not to use large reasoning models in research writing, and some facets of research.

5 | Navigating AI Framework Fatigue

Based on our infographic report, IPLR-IG-013, here are some suggestive guidelines how to counter AI Framework Fatigue, with a basic understanding of this problem faced by researchers, citizens, and businesses.

6 | Workflow Accountability and Documentation

How to establish accountability of using AI technologies at any stage of research workflow, be it associated with hard skills, or soft skills, and why & how should you document them.

7 | Countering Artificial Intelligence Hype

How to conduct human-led and cross-checked research operations, and be less affected by information warfare, information overload and market hype, driven around AI itself as a subject-matter, and how AI should be used in research workflows.

8 | AI Use Justification in Contracts

What could be the basic contractual measures that can be done to make better AI use justifications and address liability issues for researchers?

9 | Further Readings

Some readings dedicated to the guidelines of the framework, subject to updates, as may be necessary.