Explore the capabilities of artificial intelligence, and consider its ethical implications and potential applications for your business.
About This Programme
Artificial intelligence (AI) is an exciting, highly debated field of research and practice that offers transformative potential across all sectors of the economy. It’s a pervasive technology that has already spawned many disruptive innovations, fuelling often-inflated expectations of what it is capable of, now and in the future.
At the same time, the growing applications of AI have made society aware of both its inherent challenges and the ways in which it’s starting to change the future of work across occupations. In order to understand AI and its true potential, people need to firmly grasp how this technology works and its implications for businesses. The Oxford Artificial Intelligence Programme from Saïd Business School, University of Oxford aims to provide you with a sound understanding of AI: its history, functionality, capabilities, and limitations.
Over the course of six weeks, you’ll be exposed to empirical research and real-life case studies. On completion, you’ll have developed an informed opinion about the possibilities AI holds, and be able to reflect on its ethical implications and potential applications in your organisation.
What this programme covers
The programme provides you with diverse insights and perspectives on the ethical, legal, and social considerations around AI so that you’re equipped to critically appraise AI technologies. It also introduces you to AI mechanics and subdisciplines, including the different types of machine learning, deep learning, and neural networks. While you won’t be expected to code, you'll still get the opportunity to learn about this field and develop a foundational understanding of how the technologies work. Ultimately, you’ll assess all the opinions surrounding AI, and then be encouraged to develop your own views about its potential uses in industry and society as a whole, culminating in a business case for the implementation of AI in your organisation.
What You will Learn
Module 1 Artificial intelligence ecosystem
Explore the history and potential of AI within the context of the digital ecosystem.
Define AI
#Review the history and development of AI, and contextualise the technology in the emergent ecosystem
#Illustrate the nature of the different types of technologies and where AI fits in Analyse the trajectory and impact of different types of technologies in the digital ecosystem.
Module 2 AI and machine learning: Understanding the black box
#Delve into the mechanics of the three main types of machine learning: supervised, reinforcement, and unsupervised learning.
#Discuss how to link types of data and machine learning approaches to solve existing problems
#Recognise the different machine learning approaches used for different types of data
#Identify the workflow of supervised, reinforcement, and unsupervised learning
#Analyse the impact of human decisions in the machine learning workflow
#Evaluate the benefits and limitations of machine learning approaches within different contexts.
Module 3
#Understanding deep learning and neural networks
#Understand what deep learning is and how it is powering the modern approach to AI.
#Identify the functionality of errors and weights in neural networks
#Determine the impact of backpropagation on neural networks
#Investigate different use cases of deep neural networks
#Assess the mechanics of machine learning algorithms, such as neural networks
Module 4
#Working with intelligent machines Explore the concept of intelligence in machines and the impact of AI in the labour market.
#Describe the different forms of intelligence and how they relate to the completion of tasks
#Analyse the ways in which the workforce interacts with machines based on varied forms of intelligence
#Determine the scope of change that AI will enable in the conventional workforce
#Recognise areas of greatest potential for AI in your organisation or an organisation of your choice.
Module 5
The ethics of artificial intelligenceExplore the hierarchy of ethical and legal considerations around AI.
Categorise the three pitfalls of AI
Investigate the regulatory considerations of using AI
Debate the sources of algorithmic bias
Develop ethical principles for you organisation or an organisation of your choice to instil for its AI applications and plan for preventing bias
Module 6
How to drive AI in your business
#Identify the potential business opportunities of AI in a specific context.
#Investigate the opportunities that AI offers an organisation across different sectors
#Formulate a business case for AI in your organisation or an organisation of your choice
#Debate the concept of the singularity within the current AI landscape
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