Advances in AI-Driven Decision Making and Cognitive Frameworks

The field of artificial intelligence is moving towards a more nuanced understanding of human values and preferences, with a focus on developing frameworks that can accommodate diverse cultural and moral contexts. Recent research has highlighted the importance of contextualizing AI decision making, taking into account the complexities of human cognition and the need for more transparent and explainable models. Noteworthy papers in this regard include 'Cognitive Dissonance Artificial Intelligence (CD-AI): The Mind at War with Itself', which introduces a novel framework for sustaining uncertainty and promoting dialectical engagement, and 'ALIGN: Prompt-based Attribute Alignment for Reliable, Responsible, and Personalized LLM-based Decision-Making', which proposes a system for dynamic personalization of LLM-based decision makers through prompt-based alignment to a set of fine-grained attributes.

Sources

Effect of Static vs. Conversational AI-Generated Messages on Colorectal Cancer Screening Intent: a Randomized Controlled Trial

Uncanny or Not? Perceptions of AI-Generated Faces in Autism

Cognitive Dissonance Artificial Intelligence (CD-AI): The Mind at War with Itself. Harnessing Discomfort to Sharpen Critical Thinking

ALIGN: Prompt-based Attribute Alignment for Reliable, Responsible, and Personalized LLM-based Decision-Making

CALMA: A Process for Deriving Context-aligned Axes for Language Model Alignment

An Exploration of Knowledge Editing for Arabic

Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment Dataset

Can AI Rely on the Systematicity of Truth? The Challenge of Modelling Normative Domains

MCEval: A Dynamic Framework for Fair Multilingual Cultural Evaluation of LLMs

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models

Cultural Bias in Large Language Models: Evaluating AI Agents through Moral Questionnaires

Absher: A Benchmark for Evaluating Large Language Models Understanding of Saudi Dialects

EsBBQ and CaBBQ: The Spanish and Catalan Bias Benchmarks for Question Answering

HKGAI-V1: Towards Regional Sovereign Large Language Model for Hong Kong

The AI Ethical Resonance Hypothesis: The Possibility of Discovering Moral Meta-Patterns in AI Systems

Draw an Ugly Person An Exploration of Generative AIs Perceptions of Ugliness

Black Box Deployed -- Functional Criteria for Artificial Moral Agents in the LLM Era

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