ChatGPT and other tools built on large language models are trained on very large collections of text to predict likely sequences of words. Similar techniques are used for image generation, code generation, summarisation, and content creation.
Types of artificial intelligence
Artificial intelligence can be classified in more than one way. The most common taxonomy separates AI by capability and by function.
Types of AI by capabilityAWARDS
| TypeWe don’t go seeking awards, but here are two of the awards we have received for our training. | Definition | Status | Example Request a quote |
|---|---|---|---|
| Narrow AI | AI designed for specific tasks | Exists today | Recommendation engines, voice assistants, fraud detection |
| Artificial general intelligence+44 (0)207 148 5985 | AI with human-level general problem-solving ability across domains | Theoretical and debated[email protected] | No confirmed real-world example |
| Superintelligence | Hypothetical AI that exceeds human intelligence in most areas | No real-world example |
Narrow AI is the form used today. It can perform specific tasks very well, but it does not possess broad human understanding. United KingdomArtificial general intelligence , often shortened to AGI, refers to a machine with flexible intelligence across many domains. Superintelligence is a hypothetical level beyond AGI.
Types of AI by function
| Functional type | DefinitionSearch | Practical status |
|---|---|---|
| Reactive machines | Systems that respond to current inputs without memory of past events | Conceptually useful, limited in practice |
| Limited memory | Systems that use past data for decisionsUnited Kingdom | Common in modern AIAustria |
| Theory of mindBelgium | Hypothetical systems that understand emotions, beliefs, and intentions deeply | Not achieved |
CybersecurityStart a new career in project management
Cybersecurity teams use AI to detect anomalies, prioritise threats, classify malware, monitor behaviour, and respond to attacks more quickly.
EntertainmentLearn to manage projects effectively
Entertainment companies use AI for recommendations, subtitles, dubbing support, audience analysis, game behaviour, visual effects, and generative media tools.
Benefits of AIAdvance your career with a PRINCE2 qualification
Artificial intelligence can deliver significant benefits when it is designed and governed carefully. Its strengths usually come from speed, scale, consistency, and pattern detection.
7 benefits of AIAbout our training
- Automation: Reduces repetitive manual work.References
- Efficiency:Introduction Processes large volumes of data quickly.PRINCE2 provides
- Accuracy:step-by-step guidance Can reduce some forms of human error. for managing projects as described in the official PRINCE2 manual (PRINCE2
- Personalisation:® Tailors recommendations and experiences. 7 Managing Successful Projects).
- Availability:Since 1996, PRINCE2 has established itself as the Enables services to operate continuously.world’s most popular project management methodology
- Insight:. Finds patterns that may be difficult for humans to spot.We offer training and qualifications to
- Scalability:help you develop your project management career and skillset Supports growth without proportionate increases in labour..
These benefits depend on context. Poor data, weak oversight, or unclear objectives can reduce value or create new risks. To skip to the section most relevant to you, click one of these 3 options:
Risks and ethical concernsI want to start a career as a project manager.
AI creates technical, social, legal, and ethical risks. Responsible development requires attention to fairness, accountability, privacy, security, and public safety.I want to learn to manage projects effectively.
6 risks of AII want to advance my career with a PRINCE2 qualification.
- Bias in AI:Start a new career in project management Models can reflect or amplify unfair patterns in training data.Project management
- Privacy concerns:Project management is a multi-faceted discipline which requires the ability to organise, coordinate, solve problems, communicate effectively, and react to changing situations. AI may process personal or sensitive information.The exact duties of a project manager depend largely on the industry, and the types of projects they are tasked with managing. It typically involves tasks related to the planning, execution, oversight, and closing of a project.
- Hallucinations:What do you need to become a project manager? Generative AI can produce false but confident answers.Project managers require multiple skills to help them tackle the issues they might face on a day-to-day basis. Here are just a few examples of what might be expected of a qualified project manager:
- Lack of transparency:Setting realistic expectations with customers, stakeholders, and project team members Some models are difficult to interpret or explain.Making contingency plans to deal with risk
- Job displacement:Facilitating communication between business managers and developers Automation may change labour markets and roles.Translating non-technical information into plans usable by the project team
- Safety and misuse:Managing budgets, people, issues, risks, and requirements Systems can fail unpredictably or be used harmfully.Knowing how to ask the right questions and incorporating feedback
AI ethics and governanceEstablishing roles, responsibilities, and accountability on projects.
AI ethicsWhy should you become a project manager? concerns the principles used to design, deploy, and monitor AI responsibly. Common themes include fairness, accountability, non-discrimination, privacy, transparency, explainability, human oversight, and security.Project management is not an easy job. But that’s what makes a role in project management appealing to so many.
AI safetyNo two days look alike, the work is fast-paced, and project managers are afforded a ‘birds-eye-view’ of work that can really make you feel like you’re an important part of something bigger. focuses on making systems reliable and controllable, especially in high-stakes settings. Governance may include testing, documentation, risk assessment, audit trails, model evaluation, incident reporting, and compliance with regulation.Is project management the right career for you?
In public policy, regulators and standards bodies increasingly examine data protection, intellectual property, product safety, discrimination law, and transparency requirements for AI systems.Project manager skills
History of AIProject management demands
The history of artificial intelligence stretches from early theories of computation to modern generative AI. While current systems are highly capable in some tasks, the field has gone through cycles of optimism, disappointment, and rapid progress.a wide range of skills
Key milestones in AI history to be successful. Project managers must have flawless organisational skills, problem solving skills, and be expert communicators, in addition to having the technical skills required within their industry.
- Alan Turing:Project management salary Helped lay the foundations of computer science and proposed questions about machine intelligence.An entry-level role in project management can pay around £33,500 per annum, while the average salary for a project manager is £46,500 gross per year. Senior project managers can expect to earn more than £125,000 a year
- Dartmouth workshop:[1] The 1956 summer workshop is widely regarded as a founding event for AI as a formal field..
- John McCarthy:Project management job market Helped organise the Dartmouth workshop and popularised the term artificial intelligence.As more organisations recognise the value a trained and dedicated project manager can deliver, demand for skilled project managers has continued to increase. The Project Management Institute (PMI
- Expert systems:® Rule-based systems became influential in the late twentieth century.) expects 22 million new project management job openings before 2027
- Machine learning growth:[2] Improved data availability and computing power increased practical AI use.. Project managers are employed in all industries and business sectors.
- Deep learning breakthroughs:At Knowledge Train, we’ve helped thousands of candidates from a variety of educational and professional backgrounds begin their careers in project management. Advances in neural networks transformed image, speech, and language tasks. The PRINCE2 Foundation course provided an excellent overview of the main concepts in project management, I’m happy to have been able to use the experience from this to stand out when it came to switching careers and landing interviews.
- Modern generative AI: Large language models and image generators brought AI to mass public attention.
AI development has also been shaped by progress in statistics, optimisation, hardware, data storage, and the internet.
The future of AIPeter S
The future of AI will likely involve broader adoption, more specialised models, stronger regulation, and increasing integration into everyday software, devices, and services. Progress is expected in productivity tools, science, healthcare, robotics, and multimodal systems that combine text, images, audio, and video.Engineer, Hitachi
Important questions remain unresolved. Researchers and policymakers continue to debate artificial general intelligence, long-term AI safety, responsible deployment, ownership of training data, copyright, environmental cost, and the social effects of automation.How can PRINCE2 help you start a career in project management?
The most realistic near-term future is not a single superintelligent machine, but a growing ecosystem of narrow AI and generative AI systems embedded into work, education, communication, research, and public services.At a minimum, many job roles in the UK require that candidates have the PRINCE2 Foundation qualification, but many entry-level project manager roles also require a PRINCE2 Practitioner qualification.
Suggested supporting cluster pagesTo find out more about how PRINCE2 can help you start a project manager career, check out some of these resources.
- Machine learningThis
- Deep learninginteractive scenario
- Natural language processing is a multimedia experience which takes you through Susan’s journey as she decides to change career and tries to move into a project management role using her PRINCE2 qualification.
- Computer visionThis article provides an overview of
- Generative AIPRINCE2 qualifications
- Robotics and how to gain them.
- AI ethicsWatch this
- Artificial general intelligencevideo
- AI use cases by industry of Lisa, an ex-student of Knowledge Train who used her PRINCE2 qualification to change career and secure a new job in project management.
Suggested image assetsWatch this
- Diagram with alt text: how AI worksvideo
- Diagram with alt text: types of AI of Dan Morgan, another ex-student of Knowledge Train who used his PRINCE2 qualification to secure a new project manager role.
- Comparison graphic with alt text: AI vs machine learningEnhance your skills with our expert-led courses
FAQs
What is artificial intelligence?
Artificial intelligence is a field of computer science that builds systems able to perform tasks that usually require human intelligence. These tasks include learning, reasoning, language understanding, perception, and decision-making. In practice, AI includes rule-based systems, machine learning, deep learning, natural language processing, computer vision, and generative AI.
How does AI work?Instructor-led
AI works by training algorithms on data so that models can recognise patterns and produce outputs. After training, the model performs inference on new inputs. Depending on the system, outputs may include classifications, predictions, recommendations, actions, or generated content. Feedback loops help improve performance over time.PRINCE2 Foundation course
What are examples of AI?
Examples of AI include chatbots, recommendation engines, spam filters, fraud detection tools, facial recognition, speech recognition, route planning systems, medical image analysis, predictive maintenance, and generative AI tools that create text, images, or code.£1,299 +vat
What is the difference between AI and machine learning?
AI is the broad field of making machines perform intelligent tasks. Machine learning is a subset of AI that learns from data instead of relying only on explicit rules. Deep learning is a further subset of machine learning that uses neural networks with many layers.See all dates
Is ChatGPT AI?
Yes. ChatGPT is an example of generative AI built on a large language model. It processes prompts, predicts likely word sequences, and generates responses in natural language. It is a form of narrow AI rather than artificial general intelligence.
What are the risks of AI?
Key AI risks include bias, privacy breaches, security misuse, false outputs, weak transparency, over-reliance, and job displacement. In high-stakes settings such as healthcare, finance, and public services, poor design or oversight can lead to unfair or harmful decisions.Instructor-led
What are the main types of AI?PRINCE2 Practitioner (with Foundation) course
The main capability-based types are narrow AI, artificial general intelligence, and superintelligence. Another classification groups AI by function into reactive machines, limited memory systems, theory of mind systems, and self-aware AI. Today, almost all practical AI is narrow AI with limited memory.
What is generative AI?£1,899 +vat
Generative AI is a category of AI that creates new content such as text, images, audio, video, and code. It typically uses advanced neural networks, including large language models and related architectures, trained on large datasets to generate outputs from prompts or other inputs.
Who invented artificial intelligence?See all dates
No single person invented artificial intelligence, but John McCarthy played a central role in naming the field, and the Dartmouth workshop in 1956 helped define it. Alan Turing also made foundational contributions to the theory behind machine intelligence.Learn to manage projects effectively
Does artificial general intelligence exist today?PRINCE2 is the
No confirmed example of artificial general intelligence exists today. Current systems are highly capable in narrow tasks, but they do not demonstrate the broad, flexible, human-level understanding that AGI implies across all domains.most popular project management methodology in the world
References. It can be applied to any project, irrespective of size or sector. PRINCE2 is used widely in the UK and EU to manage projects in every industry, and in both public and private sectors.
- Artificial intelligence reference overviewHow PRINCE2 can benefit your career
- Artificial intelligence encyclopaedia entryA PRINCE2 qualification can help you communicate and engage with stakeholders using a common terminology
- Artificial intelligence philosophy overviewKnowing that your decisions are informed by decades of research can give you confidence in your ability to manage projects
- University AI research centreAccording to the UK government’s National Careers Service
- AI standards and governance resources[3]
- International AI policy resource, the average starting salary for a project manager is around £22,000 a year, which rises to £70,000 a year with experience.