OCN NI Level AI Week 1




OCN NI Level 3 Certificate




Lecturer –Michael Allison– week 1



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OCN NI Level 3 Certificate




Lecturer –Michael Allison– week 1





Introductions

  • Tutor – Michael Allison

  • michael.allison@swc.ac.uk


  • BSc Hons in Computer Science.

  • Currently teaching Level 3 Information Technology along with Level 2 IT.



Course Purpose and Aim(s)

  • This course will enable the learner to understand the principles and applications of Artificial Intelligence (AI) in industry. The learner will understand the importance of data and algorithms in AI techniques and technologies and gain experience of solving practical AI problems.

Course Timetable –

Qualification Objectives

  • The objectives of the OCN NI Level 4 Award in Social Media and Digital Marketing qualification are to enable learners to:


  • Understand the use of social media and the associated risks

  • Understand how digital marketing and social media may be integrated into business planning

  • Be able to use a digital marketing strategy to develop a digital marketing plan

  • Understand the use of websites for marketing

  • Be able to use social media for marketing and promotion

What is Artificial Intelligence

  • Artificial Intelligence (AI) is a multidisciplinary field of computer science that focuses on creating systems and machines capable of performing tasks that typically require human intelligence. These include but are not limited to:




  • Learning

  • Reasoning

  • Understanding

  • Problem solving




  • Autonomy

  • Perception

  • Separating fact from belief




Brief History of Artificial Intelligence

  • The history of Artificial Intelligence (AI) is marked by key developments, breakthroughs and some setbacks.




  • 1940/50s – Birth of AI

  • 1956 – Dartmouth Workshop

  • 1950/60s – Early AI Achievements

  • 1970/80s – AI Winter

  • 1980/90s – Emergence of Machine Learning

  • 2010s/Present - Machine Learning and Data Revolution



1940/50s – Birth of AI

  • The roots of Artificial Intelligence (AI) can be traced back to the work of pioneers like Alan Turing.

  • Developed the concept of a universal machine capable of performing any computation

  • Introduced the ‘Turing Test’

  • Contributions to Early Computing


1956 – Dartmouth Workshop

  • Organised by John McCarthy, Marvin Minksy and two senior scientists of IBM

  • Term ‘Artificial Intelligence’ came from John McCarthy

  • Workshop was to develop machines that could simulate human intelligence

1950/60s – Early AI Achievements

  • Early AI programs were developed to perform tasks like playing chess and solving algebra problems.

    • Bernstein Chess Program

  • Logic Theorist – program to perform automated reasoning

  • Eliza – natural language processing computer program


1980/90s – Emergence of Machine Learning

  • 1980/90s – Emergence of Machine Learning



2010s/Present - Machine Learning & Data Revolution

  • 2010s/Present - Machine Learning and Data Revolution

Positive Aspects of Artificial Intelligence

  • Automation & Efficiency

  • Enhanced Decision-Making

  • Improved Healthcare

  • Personalised Experiences

  • Natural Language Processing

  • Innovation in Industries

  • Safety & Security

  • Accessibility & Inclusion

Artificial Intelligence (AI) offers numerous positive aspects and has the potential to bring about significant benefits to society, industries, and individuals.

Negative Aspects of Artificial Intelligence

  • Job Displacement

  • Bias and Fairness

  • Privacy

  • Ethical Dilemmas

  • Security Risks

  • Economic Disparities

  • Unemployment & Reskilling Challenges

  • Legal & Regulatory Challenges

Artificial Intelligence (AI) also has several negative aspects and challenges that need to be considered

Most common use of AI

  • Artificial Intelligence (AI) has a wide range of applications across various industries and domains. Some of the most common and prominent uses of AI include:


  • Natural Language Processing (NLP)

  • Machine Learning in Healthcare

  • Finance and Investment

  • Recommendation Systems

  • Autonomous Vehicles

  • Computer Vision

  • Manufacturing and Industry

  • Cybersecurity

Individual Activity – 10/15 mins

  • In a word document:

    • Explain the application of AI to the Internet of Things (IoT)

Tea/Coffee Break – 30 minutes

What does the Turing Test evaluate?

A

Machine's ability to exhibit intelligence

B

Data storage capacity

C

Robotic movement accuracy

D

Computer processing speed

What marked the 1970/80s in AI?

A

Data Revolution

B

Chess Program Development

C

Machine Learning Boom

D

AI Winter

Who coined the term 'Artificial Intelligence'?

A

IBM scientists

B

Alan Turing

C

Marvin Minsky

D

John McCarthy

What does AI primarily focus on?

A

Building faster computers

B

Improving internet speed

C

Creating intelligent systems and machines

D

Developing physical robots

Homework Task!

  • In a word document:

    • Produce a research document on the different characteristics of AI applications (Chat GPT, Perplexity) using answers from each piece of software.

Next Week:

  • Evaluate the application of AI in:

  • a) robotics

  • b) additive manufacturing