The New Skills in Finance Report 2022
In a digital-transforming era, there is a widening skills gap for those who cannot adapt to the new digital world in finance.
CFTE and Elevandi published the report with the discussion with leading experts to help governments, organisations and individuals address the current skills gap in finance and build a digital-resilient workforce in the industry.
Key takeaways from "Data Equity: Foundational Concepts for Generative AI" report published by World economic forum
CFTE summarised “Data Equity: Foundational Concepts for Generative AI” report by World economic forum. The report introduces the concept of data equity in the evolving field of genAI.
Key Aspects
- The main focus of the report is on establishing a shared vocabulary and framework for data equity in the realm of GenAI.
- It aims to scope initial concerns, facilitate collaboration and dialogue among stakeholders, and shape the future development of GenAI technologies in a proactive and positive manner.
Table of Contents
1. Introduction
2. Classes of Data Equity
3. Data Equity Across the Data Lifecycle
4. Data Equity Challenges in Foundation Models
5. Focus Areas for Key Stakeholders
6. Discussion
Key Findings and Insights
This report will give you an insight into:
- Data Equity Classes: The report identifies four interrelated classes of data equity: Representation Equity, Feature Equity, Access Equity, and Outcome Equity. These categories address the visibility of marginalized groups, the accurate portrayal of diverse individuals and groups, equitable accessibility of data and tools, and fairness in results, respectively.
- Proactive Measures for Bias Mitigation: The report underscores the necessity of auditing data and algorithms at every stage of the AI process. This includes data collection, model training, and implementation phases. The goal is to prevent genAI tools from perpetuating existing societal inequities, ensuring that these tools represent all communities fairly.
- Impact of GenAI on Society and Urgency of Frameworks: The rapid deployment and development of genAI technologies have significant societal implications. The report highlights the urgent need to explore and establish frameworks for data equity in this context. It is crucial to shape the future development of these technologies in a way that proactively addresses equity issues, ensuring that the benefits of genAI are widely and fairly distributed
Key infographics
