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All Moonshots

Responsible AI

URN M24.0.698
Topics AI (Artificial Intelligence), Governance, IT & process automation

Improving GenAI’s reliability for adoption at scale

Introduction AI has the potential to generate immense value across the telecommunications industry. From customer care to network operations, the possibility to generate new insights, new revenue and deliver efficiencies should not be underestimated. However, AI also comes with a number of risks which telecommunications leaders, technology teams and customers are becoming increasingly aware of. Our ambition is to bring together a diverse team of contributors from multiple Telecommunications and Technology organizations in order to define an approach to Responsible AI which highlights the potential benefits to the Telco industry, whilst also highlighting the key risks associated with traditional and generative AI. From here we look at how specific AI use cases align with key Governance, Risk and Compliance frameworks. By assessing input from each of the participating organizations, we have developed a consistent approach to AI Governance which covers three critical areas: 1: Risk management 2: Pre production design and evaluation 3: Post production monitoring This approach then leads into an overview of the key considerations, processes and technical approaches / tools required in order to identify, manage and mitigate AI risks. The key outcomes we aim to prove are as follows: * A view of the business opportunities presented by AI. * An understanding of the potential AI related risks faced by the Telecommunications industry. * A framework and approach to understanding and mitigating against these risks. * A view of the technical advancements which enable organizations to address these risks at scale and where possible in an automated manner. * A view of the business benefits associated with the adoption of an AI Governance function across the organisation. The "Responsible AI Moonshot Catalyst" underscores the imperative of investing in responsible AI governance for CSPs, emphasizing that neglecting this aspect could lead to detrimental consequences. By showcasing the risks associated with inadequate governance, the initiative aims to drive home the message that responsible AI practices are essential for mitigating risks and maximizing revenue and efficiency gains, projecting a potential 30% EBIDTA improvement for CSPs globally.


0. Start here. Catalyst Overview - our story

Moonshot 698 - Overview Video

1. Introduction & Overview

Participating organisations

AI Governance Framework

DTW presentation

AI Risk Atlas

2. Business Value

Business impact calculations

AI Governance Business Case

3. Technical Demos

IBM Governance Console

IBM Watsonx Governance Use Case Assessment

TCS Pre-production Evaluation

Microsoft Post production monitoring

4. Useful links & Information

IBM Watsonx

TCS AI WisdomNext GenAI Evaluator

TCS AI WisdomNext

5. Infographic

Project summary infographic

Inform feature

How to ensure responsible genAI deployments through careful governance

Contact team

Email the members of the Catalyst team to request more details.


Team members

Amazon Web Services, Inc. logo
Bell Canada logo
EITC  (DU) logo
IBM Corporation logo
Microsoft Corporation logo
Orange logo
Saudi Telecom Company logo
Tata Consultancy Services logo
Tech Mahindra Limited logo
Turknet logo
Verizon Communications logo
Vodafone GmbH logo
Vodafone Group logo

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