This document provides a summary of the author's experience with artificial intelligence over time, beginning in college in 1990 studying expert systems, machine learning, and natural language processing. It then outlines developments in AI assistants like Siri, Alexa, and Grammarly. The author worked on early projects involving music recommendation systems, mobile payments, and automated radio scheduling. More recently, the author has observed the growth of AI tools for code generation, image generation, and summarization. In teaching programming, the author had to address issues around students using AI to generate assignments. Overall, the rapid advancement of AI capabilities is an ongoing challenge requiring updated policies around ethics, privacy, and appropriate use in education.

1. My AI Experience
Colm Dunphy - June 2023

2. TIMELINE - 1
• 1990 AI Subject in College
• Expert systems
• Machine Learning
• Neural Networks
• Natural Language Processing
• Languages
• Lisp, Prolog
• 1998 Furby
• “Furbish”
• Learned English commands
• Talk to another (infra red)
• 2010 Siri app
• 2011 Integrated into iOS
• DARPA
• 2013 Amazon Alexa
• 2019 3rd generation Alexa Dots
• 2001 Polish “Ivona”

3. TIMELINE - 2
• MS Word
• Spelling & grammar
• 1989 Word 2.0 spell check
• 1993 Word 6 for windows
• 1995 Word 95
• 1997 Autocorrect
• 2007 Contextual spelling &
grammar

4. TIMELINE - 3
• Grammarly
• 2009 First release
• 2017 iOS & Android
• 2018 Google Docs compatible

5. TIMELINE - 4
• MS Powerpoint
• Design Ideas
• 2016 Office 365 Windows
• Powerpoint Design Ideas
• 2017 Office 365 Mac
• Background Removal 2013

6. Adobe Photoshop
Fill
• Context Aware
• New AI Generative Fill

7. Canva - Assistant

8. Canva - Assistant

9. CANVA – Text to Image

10. CANVA Magic Eraser

11. WRTC/DIGITAL(DEC) Internship
• Karl Sandison & Larry Stapleton
• ECO – Engineering Change Order
• Learn the “lexographical structure of ECOs” so that they could be automatically
read/parsed and interpreted, by a computer program.
• Technologies
• LISP, ADA, C, VAX PARSE, RDBMS
• MIT Information Lens
• https://dspace.mit.edu/bitstream/handle/1721.1/2277/SWP-3082-
21174847-CISR-192.pdf?sequence=1
• VILE-MMS - 4th Year Project 1991
• - Vax Information Lens Editor & Mail Management System
• Mail Filtering Rules
• - Novell Groupwise Mail - 1995 before we had these features in Waterford.

12. DJ & Radio – R&D Background (TSSG)
• ABC PLAYOUT (1997)
• Schedule music ads,
automate a radio station
• (RCS, Myriad, RadioMation, Genesys, mAirList)
• Hash6 / Catch (2002)
• Identify a song on the radio, add to your locker,
buy and download
• (Spotify,Shazam)
• UMetaDJ (2003)
• Open format for sharing data between professional
DJ softwares
• (RecordBuddy, RecordCloud, MIXO, iTunes)
• MORP (2003)
• MObile Retail Payments
• (Revolut)
• MUZU (2002)
• online music video site
• largest legal catalogue of online music
videos.
• FeedHenry (2002)
• Global RSS feed curation
• Later pivoted to SAAS
Red Hat Mobile Services

13. DJ & Radio - Background
• MetaData / Cue Points
– MANUAL EXERCISE
• Vinyl (80s)
• Chewing gum
Labels
Painters Tape
• Video tape (90s)
• magnetic index markers
• Minidisc (90s)
• insert markers
• CD (90s)
• stored on separate SD memory cards
• Laptop (00s) / Digital Files
• Separate Database
• within metadata of the file

14. DJ & Radio
• CLUB DJ SOFTWARE
• Traktor, Serato, RecordBox,
VirtualDJ, MIXX, dJay Algorithm
• 2020 Pioneer RecordBox 6
• subscription model
• auto identifies song structure
during analysis
• (intro, verse, break, chorus, drop, etc.)
• Supervised Gianluca Zuccarelli
• Sun Life Computing Projects
Innovation Award 2020-21
• "Neural Network based Song
Structure Analysis".
• i.e. creating and training your own
model

16. DJ – ACCAPELLAS / STEMS - services
2015
Native Instruments TRAKTOR
STEMs Open Format
•File containing 4 parts
•.stem.mp4
2020
LALAL.AI
2023
AuDImix

17. 2020
djay Pro AI
2021
VirtualDJ
2022
Serato
FADR.com
2023
VirtualDJ (STEMS 2)
Rekordbox DJ
DJ – ACCAPELLAS / STEMS - RealTime

18. Music
• Writing a song – ChatGBT
• MelodyStudio
• Better context / syllables
• Chord Progression / melody
• Apple Logic / GarageBand
• Virtual Musicians
• Virtual drummer
• Move away from texboxes to sliders and emotions

19. Audio
• Focusrite FAST AI plugins
• Sound cards
• SHURE MOTIV AI
• Shure mv7 mic

20. Adobe VoCo
• Adobe Max 2016
• Photoshop for Voice
• Transcribe a video
• By editing the text transcript, you edit the video
• 2023 Adobe Premiere Pro now has this functionality
• Surprise:
• By adding new words, your could make the person say those words
• This is now available in resemble.ai
• Concerns over ethics, copyright, data privacy
– voiceprint biometrics, human image syntheses

21. Resemble.ai - Al Voice Synthesis

22. Resemble.ai - Al Voice Synthesis

23. Text to Speech / Voice Cloning
• Speechify $249 pa (best??)
• Snoop Dog - please open a web page
• Resemble.ai

24. Waterford Tech
Meetup 2018
• Deep learning techniques
• to better understand the
brainwaves (EEG) of newborn
babies
• detecting seizures in infants.
PhD candidate Alison O’Shea
• TensorFlow
• Creating your own machine
learning models

25. Computer Code Generation - 1
• Computers talk in Binary Machine Language (01010101)
• Chips Assembly Language
(Minimal instruction set)
• High Level Languages
• Basic, Cobol, Pascal ,C
• Python, Java,
JavaScript, Node.js
C++
• Interpetted v compiled
• Libraries of code
• can be reused
• Vast Number
• Versions!
• NPM

26. Computer Code Generation - 2
• Code Completion
• IntelliJ
• Visual Code
• CoPilot
• CoPilot VoiceAssist
• GitHub
• Bought by Microsoft in 2018 for $7.5 billion
• 100 million developers
• 92% of programmers using AI
• CEO Thomas Dohmke interview
• Copilot will write 80% of code “sooner than later”
• Keeps developers in the editor.
• Net Promoter score +81%
• 46% of code is now written by CoPilot
• 55% fastser

27. Last Year

28. Nov 2022
• Mobile App Dev assignment
• Slack Post appeared re writing a spec for
• AI Generation came to the fore
• Replied ok to use AI tools once acknowledged. However own words need to be own words.
• FINAL Project:
• Highlighted AI Detection (open source projects on GitHub)
• STUDENTS BEWARE
• Acknowledge
• Cite
• Policies
• Code of Conduct (dis) honest
• Plagiarism

29. Dec 2022
• Started reading around generative AI Tools
• Subscribing to Facebook groups
• Email Subscription
• TLDR AI
• Getting Informed for next semester
• Key Considerations
1. If ChatGBT can generate the solution to your assignment…
• Are you asking students to do the right assignment?
• Are you teaching the right thing?
2. Embrace AI versus trying to prevent it’s use
• (akin to pretending there is no internet and students don’t have mobile phones/data)

30. Jan 2003
• New Cohort of students starting Programming
• Q: Can ChatGPT generate the programming language being taught
(Processing)?
• A: Web says NO. However by trying it out myself I discovered partial YES
• Q: What do I need to change in Assigment 1
• A: No more than normal (change the theme and some constraints)
• Why?
• We don’t mark the code, we mark the reflection
• The reflection is tied to the marking rubric, which in turn is tied to the code
• WE ARE MAKING THE LEARNING NOT THE ARTIFACT

31. Feb 2023
• Following more education based AI Groups
• Differences of opinion about citing
• Personal communication.
• Appendix for
• Prompt
• Response
• Methods / Methodology
• Evaluation of AI responses used

32. Mar 2023
• CoP with Hazell and Peter

33. April 2023
• Colleagues in other schools complaining about generated
assignments
• Detecting an AI generated Final Project Report
• TurnItIn
• Similarity
• AI Detection
• 98% Confidence Interval
• 99% Confidence Interval for third level
• Highlighting of generated text

34. Generated Projects - How we handled it
• Ran all student reports manually through
TurnItIn
• Students above a combined threshold were
contacted.
• Result Message posted (next slide)
• Follow up interviews
• Traditional plagiarised project – Redo
• Generated Report – Redo
• Some generation
• Update citations
• Acknowledgements
• Chapter on AI use
Hi StudentX,
Based on University policy, we must follow up
with another call, in relation to your project.
There are issues with generated content. Can we
have a call tomorrow morning to discuss further?
If you send me a DM in the morning, I will call
you back ASAP after 9.30.
Thanks,
Colm

35. Hi @channel,
Thank you for your presentations last week. We have completed the initial processing of the marks. We indicated that feedback would be
given today. There have been unexpected delays in releasing that feedback as intended. However, we are releasing indicative
grades imminently (rather than percentages). You will receive a follow up DM shortly.During the course of our examination of the projects, a
number of issues arose in relation to referencing, citations, plagiarism, generated content, and a combination of both. In a number of cases,
generated content was found in the reports, in the code, or in both. As a result, we have re-examined everyone’s work, using all the tools at
our disposal and a number of students have already been contacted for follow-ups to address the issues found.If you have received a Slack
DM, requesting a further call, we will need to discuss your project further before releasing your grade. If not, we don’t foresee any further
additional examination or work, on your project.
…
We would like to point out that we were very happy with the standard of the projects this year overall, and indeed the variety. One major
issue, for most students, was with using Harvard referencing and citations in final reports. Despite asking everyone on our calls last semester
if they understood this, it was generally poorly done. For future reference see https://wit-ie.libguides.com/c.php?g=629615&p=4394252Text
generated by AI tools (e.g. ChatGPT, Bing Chat, etc.) should be used as follows:
•In-text citation: (OpenAI, 2023)
•In references: OpenAI. (2023) ChatGPT-4, Response to prompt: “Outline an essay on XYZ”, Accessed: April 26, 2023.
•Appendix: the full response included in the appendix. (The text generated should NOT be in your main core text.)
We look forward to seeing you all at the next workshop on May 25th / 26th. Don’t forget we will be presenting the Red Hat Online
Computing Award for Best Project and the DataWorks Online Computing Communitarian Award at the event. If not we’ll hopefully see you
at graduation (whenever that is).Well done. For most it’s over. It’s been a pleasure. From all the team we wish you the very best in your
future software careers. Don’t be strangers – you have an open invite to all our workshops, and we look forward to you coming back sharing
your experiences with future cohorts.Regards,
Colm

36. Observation – All Windows Computers in SETU

37. May 2023
• Generating images Computing Expo ‘23
• Project Catalogue
• Large Screen
• Panel Screens
• Used
• Dalle-E
• MidJourney
• inside DISCORD
• Require ATHENTICATOR for 2fa

43. June
• Revisiting NoleJ.io
• Supply a static content
• Document / video / audio
• Creates dynamic activities
• h5p interactive video with stops actions,
• transcript
• glossary
• quizzes
• Games
• Fill in blanks
• Drag words
• Upload H5P/SCORM package to Moodle.
• Editable
• Runway for Video

44. Conclusions
• We’ve been using AI generation for years (without knowing)
• Exponential growth clearly visible in the last 8 months in particular
• generated, text, video, audio, metadata
• Data privacy, ethics, regulation, legislation
• (last week in Europe)
• Better Advice needed for students (in advance of CA/Exams)
• Moving target - Policies will need updating every semester in the short term
• No longer talking about AI NOT being allowed