Article Details
ESG & Performance - Exploring the Financial Sector Case Author Name: Pozniak Laetitia Co-author Name: Croquet Mélanie, Tiona Wamba Herman, Berriche Amira Abstract: This paper aims to review some of the dominant philosophical, mathematical and neuroscientific theories surrounding consciousness and their essential properties. After establishing the conditions in which consciousness can be attributed, it will do so by briefly providing a comparative analysis of Integrated Information Theory (IIT), Global Neuronal Workspace (GNW) and Higher-Order theories of Consciousness amongst others1, and present our own thesis with robust argumentation. Finally, it will consider implications of these theoretical frameworks for understanding and replicating consciousness in artificial systems. Specifically, drawing upon the transformative capabilities of LLMs such as GPT (Generative Pre-trained Transformer) models, it will examine the potential for these systems to exhibit characteristics indicative of consciousness1. By examining experiments assessing large language models’ understanding of self-referential concepts, empathy, and ethical reasoning, the paper concludes despite their cap Keywords: Environmental, Social and governance, Finance, Economy, Marketing Topics: BUSINESS AND ECONOMICS Subtopic: Banking and Finance

Article Details

ESG & Performance - Exploring the Financial Sector Case

Author Name:

Pozniak Laetitia

Co-author Name:

Croquet Mélanie, Tiona Wamba Herman, Berriche Amira

Abstract:

This paper aims to review some of the dominant philosophical, mathematical and neuroscientific theories surrounding consciousness and their essential properties. After establishing the conditions in which consciousness can be attributed, it will do so by briefly providing a comparative analysis of Integrated Information Theory (IIT), Global Neuronal Workspace (GNW) and Higher-Order theories of Consciousness amongst others1, and present our own thesis with robust argumentation. Finally, it will consider implications of these theoretical frameworks for understanding and replicating consciousness in artificial systems. Specifically, drawing upon the transformative capabilities of LLMs such as GPT (Generative Pre-trained Transformer) models, it will examine the potential for these systems to exhibit characteristics indicative of consciousness1. By examining experiments assessing large language models’ understanding of self-referential concepts, empathy, and ethical reasoning, the paper concludes despite their cap

Keywords:

Environmental, Social and governance, Finance, Economy, Marketing

Topics:

BUSINESS AND ECONOMICS

Subtopic:

Banking and Finance