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AI and the Mobile Industry

Overview

This four-week course offers a comprehensive introduction to artificial intelligence (AI), its applications within the mobile ecosystem and beyond, and the governance frameworks shaping its use.

The course begins by exploring AI’s foundational concepts, emphasising its dependence on high-quality data. It examines various AI techniques, fields and applications while assessing both the strengths and limitations of the technology.

A key focus is the impact of AI on mobile telecommunications and other industries. Participants will explore how AI is transforming mobile networks through automation, predictive maintenance, and enhanced customer experiences. The course also addresses key challenges faced by organisations seeking to harness AI’s full potential.

The concept of responsible AI is introduced, highlighting its benefits and practical implementation strategies. Additionally, the course examines AI governance, analysing how global organisations and governments are addressing regulatory challenges. Special attention is given to the EU’s AI Act and its risk-based approach, which is expected to be influential on other AI regulations worldwide.

Course Objectives

Gain a solid understanding of AI’s foundational principles and applications.
Assess AI’s impact on various industries, with an emphasis on mobile telecommunications.
Explore responsible AI principles and strategies for implementation.
Evaluate international approaches to AI governance and regulation.

Course Enrolment Criteria

This course is open to:

Regulators
Policymakers
Representatives from academia and international organisations working on regulatory or policy issues

We cannot accept applications from individuals working in the private sector or those not involved in policy or regulation.

Course Completion Certificates

All of our courses are certified by the United Kingdom Telecoms Academy (UKTA) and can be used as evidence of professional development.

To qualify for a course completion certificate, you must view all the course sessions and answer correctly all the quiz questions you will find as you progress through the sessions. You will also need to fill out the course survey.

You do not have to complete a final project to earn a course completion certificate but we strongly encourage you to create one. Putting together a final project will give you an opportunity to reflect on the principles covered during the course and help you discover how they could be applied to your own country. If you submit a final project the course trainer will provide you with valuable feedback that you may find useful in your day-to-day work.

Course Structure and Study Time

The course consists of four sessions and you will gain access to all of them on the course start date. You will have the opportunity to ask questions about the content of the course during two live chat sessions as well as on the course forum.

There will be two live chat sessions during this course, and you should have viewed all the course content by the time the last chat session takes place. However, you will have three extra weeks to complete the course. If after seven weeks you have not completed the course, you will have to start it again next time it is offered.

It should not take you more than two to three hours of study time per week to complete the course in four weeks.

If you decide to submit a final project, it will probably take you four to six hours to put it together. You will have seven weeks to submit your final project.

Enrolment is curently not open.

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Duration: 4 weeks

Start date: To be confirmed

Enrolment is curently not open.

Trainer

Elizabeth Wiltshire

Senior Policy Manager for AI - GSMA

Elizabeth Wiltshire is the Senior Policy Manager for AI at the GSMA, working with members, policymakers, and international institutions to establish a global AI governance landscape which supports innovation, provides certainty and builds trust. Previously, Elizabeth was the Manager for EU Affairs at GSMA, working on Digital Economy files including the AI Act and Data Act.

Prior to joining GSMA, Elizabeth worked across sectors and levels of governance on digital and space policy, as well as digital democracy and democratic innovation. She holds a degree in Politics and International Relations from the University of Sussex.

Outside of work, Elizabeth is a board member for the international non-profit organisation Demsoc, working to create a democracy that works for the 21st century. She is also an Associate Fellow on future technologies at the Institute for Global Change.

Moderator

Daniela Gutierrez-Torres

Training Manager, GSMA

Daniela works on the GSMA’s Capacity Building program and manages the delivery of training content to regulators and policymakers worldwide and leads capacity building partnerships with the World Bank, ITU, among others. Before joining GSMA, Daniela worked at the LSE Firoz Lalji Institute for Africa. She designed and delivered training to African graduate students to develop leadership and critical skills and coordinated the Programme for African Leadership’s wide range of operational and developmental activities.

Daniela holds an MSc in Social Innovation and Entrepreneurship from the London School of Economics and Political Science, and an MA in Theory and Practice of Human Rights from the University of Essex. Her interests and expertise lie at the intersection between social innovation, economic and social rights, and social development.