Academic Paper

Mind the Gap: Evaluating Model- and Agentic-Level Vulnerabilities in LLMs with Action Graphs

Eliciting Personality Traits in Large Language Models

From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs

THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models

CorrSteer: Steering Improves Task Performance and Safety in LLMs through Correlation-based Sparse Autoencoder Feature Selection

Assessing Bias in Metric Models for LLM Open-Ended Generation Bias Benchmarks

MPF: Aligning and Debiasing Language Models post Deployment via Multi Perspective Fusion

Bias Amplification: Large Language Models as Increasingly Biased Media

HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype Detection

Evaluating Explainability in Machine Learning Predictions through Explainer-Agnostic Metrics

LibVulnWatch: A Deep Assessment Agent System and Leaderboard for Uncovering Hidden Vulnerabilities in Open-Source AI Libraries

SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness Calibration

JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models

HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications

Advancing Pain Recognition through Statistical Correlation-Driven Multimodal Fusion

Bias Audit Laws: How Effective are They at Preventing Bias Inautomated Employment Decision Tools?

Deep Learning Model Fragility and Implications for Financial Stability and Regulation

Robots are Taking Over in 2024

Evaluating Explainability for Machine Learning Predictions using Model-Agnostic Metrics

Towards Auditing Large Language Models: Improving Text-based Stereotype Detection

Living with Opaque Technologies: Insights for AI from Digital Simulations

Intersectional Fairness: A Fractal Approach

Uncovering Bias in Face Generation Models

Local Law 144: A Critical Analysis of Regression Metrics

What is Centering the Public Interest in AI?

Towards Algorithm Auditing in Financial Services

Towards Algorithm Auditing: A Survey on Managing Legal, Ethical and Technological Risks of AI, ML and Associated Algorithms

The Robots are Taking Over! Why Worry? On AI and Existential Risk - 2024 Updated

From Futurism to Agency: On New Digital Technologies, Historical Speculation and Agency

AI Ethics White Paper

Perceived Fairness of Algorithmic Recruitment Tools

Practical Risk Management in AI: Auditing and Assurance

Commentary on Employment Automated-Decision Systems

Review of the CDEI’s Extended Roadmap to an Effective AI Assurance Ecosystem

On the Sui Generis Value Capture of New Digital Technologies: The Case of AI

Scoring a Forced-Choice Image-Based Assessment of Personality: A Comparison of Machine Learning, Regression, and Summative Approaches

Proposed EU AI Act - Presidency Compromise Text - Select Overview and Comment on the Changes to the Proposed Regulation

A Digital Duty of Care: A Critical Review of the Online Safety Bill

Overview and Commentary of the California Workplace Technology Accountability Act

Regulating the Robots: NYC Mandates Bias Audits for AI-Driven Employment Decisions

Algorithm Auditing: Managing the Legal, Ethical, and Technological Risks of Artificial Intelligence, Machine Learning, and Associated Algorithms

The Role of the African Value of Ubuntu in Global AI Inclusion Discourse: A Normative Ethics Perspective

Dilemmas in AI Regulation: An Exposition of the Regulatory Trade-Offs Between Responsibility and Innovation

Tacit Knowledge Elicitation Process for Industry 4.0

Public Sector AI Transparency Standard: UK Government Seeks to Lead by Example

Measuring Personality through Images: Validating a Forced-Choice Image-Based Assessment of the Big Five Personality Traits

Road Map for Research on Responsible Artificial Intelligence for Development (AI4D) in African Countries: The Case Study of Agriculture

Innovation and Opportunity: Review of the UK’s National AI Strategy

Towards AI Standards: Thought-Leadership in AI Legal, Ethical and Safety Specifications Through Experimentation

Systematizing Audit in Algorithmic Recruitment

A High-Level Overview of AI Ethics

Artificial Intelligence in Education (AIEd): A High-Level Academic and Industry Note 2021

AI Assurance Processes

The Interrelation Between Data and AI Ethics in The Context of Impact Assessments

AI Auditing and Impact Assessment: According to The UK Information Commissioner’s Office

Philosophical Foundations for Digital Ethics and AI Ethics: a Dignitarian Approach

EU Proposed AI Legal Framework