SlideShare a Scribd company logo
Human-Machine
Collaboration
Using art-making AI (CrAIyon) as
cited work, or inspiration, reference, base
Shalin Hai-Jew
Kansas State University
2
3
4
5
6
Presentation Overview
Generative AI can create natural language text in various formats and
voices and perspectives (ChatGPT) and emulative style-transferred
visual images (CrAIyon, DALL-E, MidJourney, and others).
Controversies are swirling around various aspects of generative AI.
7
Presentation Overview (cont.)
How the generative AI tools are made and run:
• uses of copyrighted seeding texts and visuals in databases to train the
AIs (without the permission of the original authors, in some cases),
• guardrails around generative contents (such as those against x-rated
content, against hate speech, against various dimensioned
stereotypes, etc.) vs. those without any guardrails,
8
Presentation Overview (cont.)
How the generative AI tools are used:
• academic honesty, citations,
• commercial applications,
• authorship and crediting (and rewards and liabilities)
9
Presentation Overview(cont.)
• A typical sequence in using a text-seeded generative AI that creates
digital visuals is to use seeding phrases to describe the desired visual
(often multiple iterations)…selecting the image…downloading the
image as a .webp (“weppy”) format (neither raster nor vector), and
directly using the image with citation…or using the image as an
inspiration, reference, or base. (One creates a derived image, by
borrowing some visual concepts from the generative AI.)
“Photorealistic” asks the AI for create an image that looks like an
actual photo. “after Picasso” or “in the style of Georgia Totto
O’Keeffe” asks for a style transfer from the known works of the artist
into a different context.
10
Presentation Overview (cont.)
• [Please see “Co-Creating Common Art with the CrAIyon AI” on
SlideShare: https://www.slideshare.net/ShalinHaiJew/cocreating-
common-art-with-the-craiyon-ai for a clearer visual gist of this
phenomenon.]
• The presenter wrote an article titled “CrAIyon: Putting an art-making
AI through its paces” on the C2C Digital Magazine at
(https://scalar.usc.edu/works/c2c-digital-magazine-fall-2022---winter-
2023/craiyon-paces). As a former college faculty member and current
instructional designer, the presenter introduces the topic and throws
a conversation around the complexities.
11
Giving CrAIyon a Roll
12
What are some text prompts that you might
use with CrAIyon?
• Remember that this tool enables a wide range of languages and
symbols and combinations.
• This tool can engage in “style transfer,” so if you have a particular
visual artist you like, you can evoke that artist’s name.
• You can evoke various materials that you want the generative AI to
produce.
• Go a few rounds. Iterate from your original text prompt. Or try some
highly variant prompts.
• Any visuals worth downloading (.webp)?
13
Impressions? (first or otherwise)
• What are you noticing about the machine-generated visuals?
• Did anyone try “photorealistic” as one of their prompts?
• Did anyone try “after” a particular artist style?
• Did anyone try a particular material effect?
14
Impressions? (first or otherwise) (cont.)
• Do you feel like you could export something practically useful?
Impractically useful?
• What do you like? Why?
• What do you dislike? Why?
• What are some practical applications for you?
15
Impressions? (first or otherwise) (cont.)
• Are you starting to notice some visual tropes that the AI has?
• Whare are some strengths of the generative AI (based on
impressions)? What are some weaknesses?
• If you could change the tool capabilities, what would you do, and
why?
16
Debate around Human-Machine
“Collaboration”…and Credit
In terms of generative AI
17
18
Generative AI…
• …refers to computational programs that emulate humans by
generating various content (text, audio, imagery, motion visuals,
video, and other elements, including combines audiovisual ones)
• The AI programs learn through large samples of big data, so it can
emulate nuances of understandings…although such programs are in
early years (some compare them to “teenagers”).
19
Generative AI (cont.)
• Generative adversarial networks (GANs) do not only generate
contents to particular objectives, but they have a built-in test of
quality / veracity to desired outcomes against which the generative
aspect strives to improve.
• Generative AI can generate content into ∞ and beyond, but there
may not be enough human attention (attention economy) to enjoy
the various works. The works need to be meaningful to humans.
20
Human in the Loop
• As it stands, the generative AIs may be prompted in a mix of ways:
• Textual prompts to help the AI know what is desirable in terms of visuals, so it
can output various visuals for consideration
• Visual prompts to help the AI have examples of the visual gist and perhaps
content that may be desirable, so it can output various visuals for
consideration
• Combined inputs (textual and visual)
• And others
21
22
Debate around Human-Machine
“Collaboration”
• How much is the human responsible for the artwork vs. the
computing machine?
• Does the computing machine have an agentic role given its design as
“artificial intelligence”?
• Does it matter if the work is run unedited directly from the generative
AI download?
• Does it matter if the work is edited and changed, superficially?
• Does it matter if the work is edited and changed, down to the pixel level?
23
Debate around Human-Machine
“Collaboration” (cont.)
• Who has the first idea (remember that the machine can turn out
something serendipitous and unconceptualized by the person who
inputs the prompt)?
• What if the content (text or visual) is created sui generis (unique, one-of-a-
kind) by the computing machine?
• What if the content (text or visual) is created ex nihilo (from nothing,
specifically without inputs by people’s works or by people’s prompts)?
• Who is responsible for the aesthetics? The composition? The social
angle? And why?
• Who is the “animating agent” and why?
24
…And Credit
Human
• Traditionally, artists are credited
for original single-artist and
team-created fine artworks.
• The artist’s name and
personality and history serve as
an artist brand.
Machine
• Can AI be credited for (fine and
other) artworks?
• What are the implications for
renown? For money? For
payment? For prizes?
• Should the programmers behind
an art-making AI be credited for
the artworks?
25
…And Reward…and Liability
Human
• In tradition, the artist bears
responsibility for the work to
some degree…and then the
owner thereafter…
Machine
• In tradition, computing
machines do not generally bear
reward or liability. Rather, their
owners do.
26
Reapportionment of Credit? Rewards?
Liabilities?
27
• Should credit be reapportioned? Rewards? Liabilities?
Drawing Lines…Or Not…
• How should schools address generative AI?
• How should professions? (How can people show their value
especially while in competition with generative AI works?)
• How should publishers?
• Or is this too soon to start drawing lines?
28
What Would You Do, and Why?
29
30
31
Q1: How would you use generative AI in your
respective contexts?
• And then, do you feel the need to disclose that you use an AI for
assistance or some other reason?
• Do you count neural filters (in digital image editing) as AI (after all,
various neural networks were used to tune the digital image editing, to
transfer styles, to recolor photos, to change hue / saturation, to change
the depth-of-field, to enable deep zoom, to enable facial editing, and
others)?
32
Q2: If you teach or edit, what would your
policies be about generative AI? Why?
• Explain why your policy is timely…but fair…and pro-learner / pro-
author (or researcher).
• How would you differentiate something that is created from
generative AI vs. not?
• What are ways to manage this issue of generative AI in teaching and
learning?
33
Q3: What can learners learn from generative
AI if it is harnessed as a learning tool?
• Given the state of the world, with advanced technologies coming to
the fore in the 4IR (Fourth Industrial Revolution), how can people
adapt and better position themselves for these fast-arriving changes?
• How would you as a learner harness generative AI?
• Are there ways to make generative AI more friendly for learners?
• Much of generative AI has been democratized, with free web-facing portals
and apps. Are there other ways to extend the benefits to the world?
34
Q4: What are some ways to position for the
impact of generative AI on human jobs?
• Generative AI is thought to squelch some white-collar jobs while
creating other jobs. What do you see as the possible impact of
generative AI on your particular work and professional circumstance?
Why?
• If you have funds to retrain, how would you use those funds?
• What are some other AIs and technologies on the horizon that may
well have a big impact on the near-future? The mid-term future?
35
Q5: Any questions for the group that have not
yet been asked?
36
My Own Usage of CrAIyon
37
38
39
Some Real-Life Applications
Practical: Visuals in an Open-Source,
Open-Access Magazine
• An open-source and open-access
publication needs some light visuals
to break up the gray text.
• I have gone through social imagery
datasets and not found anything that
the author likes.
• I go to generative AI to output a few
ideas, and then I create a visual image
to use with the generated image as an
inspiration or a reference image (used
for its lines which I capture via trace).
Impractical: Amusement,
Entertainment
• I want to be amused. I can go to a
generative AI with various text prompts
to see what it will output. Some can be
highly surprising and funny. (Generative
AIs can have a strange sense of physics
and bodies and hands and eyes.)
• A generative AI can offer high
entertainment value.
40
Some Real-Life Applications(cont.)
Practical: Learning about Digital Image
Editing
• I am practicing digital image editing. I
want to learn new functions in some
very complex digital image editing
software.
• I create some unusual prompts, and
then I use the imagery to apply new
learning.
• I also want to learn more about
AI…and how it interacts with language.
Impractical: Open-Sharing of Social
Imagery
• I want to create visuals for open-
sharing on the Social Web. I
conceptualize an idea…and generate
some images…and then use those
images to serve as references for an
original visual.
• Anything used more directly is
credited as from AI.
41
Some Real-Life Applications(cont.)
Practical: Learning about Visual
Thinking
• In other times, I want to learn how to
create moods and other visual effects.
The generative AI can offer fresh
insights.
• Ditto with various visual
communications messages…some
banal…and some more creative…
• Sometimes, I want to understand
word definitions in a visual sense.
Impractical: Wasting Time
• In between work, sometimes, it helps
to just put in a text prompt and have
the generative AI doodle something
(in under 2 minutes).
• Sometimes, there is the additional
benefit of learning…but a distraction
is sometimes very welcome.
42
Some Initial Personal Observations
• There is not a straight-line to the visual I usually want, which tends to
be somewhat artsy and strange.
• Iterating from an initial prompt with additional prompts may not get me much
closer.
• Word order only seems to matter sometimes.
• It does help to know the lingo for digital image editing and analog image
making (sketching, drawing, painting, mixed media, and others).
• The generative AI is too often literal and less symbolic and less
figurative. It is almost never poetic.
• Occasionally, there is a fluke that can result in something very
aesthetically pleasing and unexpected.
43
Some Initial Personal Observations (cont.)
• The generative AI, CrAIyon, IMHO, has its own quirks and signatures
(based on my half-year of experiences with it).
• It draws famous (and non-famous people badly, with weird eyes and bad hands
when it is trying to be “photorealistic”.
• It has a hard time drawing human proportions, too.
• It draws animals poorly, without a real-world sense of anatomy.
• It blurs much of a small image. (Blurring reads as non-committal.)
• It seems to like spirals to stand in for something precise.
• It does not do clean gridlines.
• It does not seem to do gradients.
44
Some Initial Personal Observations (cont.)
• It seems to have some bias towards spooky things.
• It sometimes goes full-bore stereotypical.
• It sometimes pulls people in its own quirky universe instead of aligning with the
real world.
• Between figurative and abstract, it seems to do the middle ground fairly well
but not those on the extreme ends.
• It does not handle text (probably there is some throttling back against
the uses of any language…so it has a doodle-y version of its own).
45
Some Initial Personal Observations (cont.)
Some of my purposeful and unpurposeful misadventures:
• When I typed in “fairytales for men,” the AI generated 9 visuals of
men in various fashion walking down catwalks.
• When I typed in “wild,” the generative AI came up with a variety of
apparent mammals that do not exist except in its own imagination.
These are patchwork animals, with patches of skin, some horns,
different hooves, and so on.
46
Some Initial Personal Observations (cont.)
• Truth to tell, I am mostly generally impressed and appreciative.
47
48
The Upsides
• So to end on an upside, I like CrAIyon because of the following:
• It is always game. Whatever prompt I put in, it always kicks up something.
• It outputs visuals I can practically use in most cases.
• It sometimes outdoes itself and offers me something that is easy to make look
artful. [But this is after years of my work in the digital image editing space.]
• It is surprising now and again.
49
The Upsides (cont.)
• While it has challenges with some shapes, it composites well.
• It handles values (lights and darks) well.
• I think it’s working on its color sensibilities. Often, it can be quite
muted. It does not take risks in its color choices.
50
The Upsides (cont.)
• I for one will keep right on learning…because it helps to be ready.
And this saves so much on time and analog art materials. Well, I do
have some time sinks where I spend an hour digitally editing a work
until I am satisfied.
• We should test limits…
• My uses of generative AI (currently) are for “artwork” with a lower-
case “a,” nothing aspiring to high art. My uses are for common art.
51
A Caveat
• Generative AI really does make my life somewhat easier when I have
to chase images, but the jury (general public, decision makers, and
others) is still out about the uses of generative AI-supported
visuals…so perhaps we need to see how the world shapes out in
terms of its approaches.
52
53
54
Conclusion and Contact
• Dr. Shalin Hai-Jew
• Instructional Design
• ITS
• Kansas State University
• 785-532-5262
• shalin@ksu.edu
• Note: All the visuals in the slideshow (save the cross-functional
diagram) were seeded with CrAIyon visuals but edited pretty heavily
in Adobe Illustrator and Adobe Photoshop. Some could have run
unedited, but I wanted to change these up from the originals.
55
56

More Related Content

What's hot

What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...
Edureka!
 
Artificial intelligence and its application
Artificial intelligence and its applicationArtificial intelligence and its application
Artificial intelligence and its application
Mohammed Abdel Razek
 
Exploring the Deep Dream Generator (an Art-Making Generative AI)
Exploring the Deep Dream Generator (an Art-Making Generative AI)  Exploring the Deep Dream Generator (an Art-Making Generative AI)
Exploring the Deep Dream Generator (an Art-Making Generative AI)
Shalin Hai-Jew
 
Generative AI
Generative AIGenerative AI
Generative AI
Carlos J. Costa
 
Introduction to ChatGPT
Introduction to ChatGPTIntroduction to ChatGPT
Introduction to ChatGPT
Damian T. Gordon
 
Introduction to ML (Machine Learning)
Introduction to ML (Machine Learning)Introduction to ML (Machine Learning)
Introduction to ML (Machine Learning)
SwatiTripathi44
 
Artificial intelligence introduction
Artificial intelligence introductionArtificial intelligence introduction
Artificial intelligence introduction
BHAGYAPRASADBUGGE
 
AI, Machine Learning, and Data Science Concepts
AI, Machine Learning, and Data Science ConceptsAI, Machine Learning, and Data Science Concepts
AI, Machine Learning, and Data Science Concepts
Dan O'Leary
 
Generative AI and law.pptx
Generative AI and law.pptxGenerative AI and law.pptx
Generative AI and law.pptx
Chris Marsden
 
Using the power of Generative AI at scale
Using the power of Generative AI at scaleUsing the power of Generative AI at scale
Using the power of Generative AI at scale
Maxim Salnikov
 
Explainable AI in Industry (KDD 2019 Tutorial)
Explainable AI in Industry (KDD 2019 Tutorial)Explainable AI in Industry (KDD 2019 Tutorial)
Explainable AI in Industry (KDD 2019 Tutorial)
Krishnaram Kenthapadi
 
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNINGARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
Dr Sandeep Ranjan
 
Generative AI, WiDS 2023.pptx
Generative AI, WiDS 2023.pptxGenerative AI, WiDS 2023.pptx
Generative AI, WiDS 2023.pptx
Colleen Farrelly
 
Generative Models for General Audiences
Generative Models for General AudiencesGenerative Models for General Audiences
Generative Models for General Audiences
Sangwoo Mo
 
Fairness in AI (DDSW 2019)
Fairness in AI (DDSW 2019)Fairness in AI (DDSW 2019)
Fairness in AI (DDSW 2019)
GoDataDriven
 
Artificial intelligence and Creativity
Artificial intelligence and CreativityArtificial intelligence and Creativity
Artificial intelligence and Creativity
Luís Gustavo Martins
 
Generative adversarial networks
Generative adversarial networksGenerative adversarial networks
Generative adversarial networks
남주 김
 
Prompt Engineering
Prompt EngineeringPrompt Engineering
Prompt Engineering
Manjunatha Sai
 
And then there were ... Large Language Models
And then there were ... Large Language ModelsAnd then there were ... Large Language Models
And then there were ... Large Language Models
Leon Dohmen
 
Artifical intelligence
Artifical intelligenceArtifical intelligence
Artifical intelligence
Shahabaj786
 

What's hot (20)

What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...
 
Artificial intelligence and its application
Artificial intelligence and its applicationArtificial intelligence and its application
Artificial intelligence and its application
 
Exploring the Deep Dream Generator (an Art-Making Generative AI)
Exploring the Deep Dream Generator (an Art-Making Generative AI)  Exploring the Deep Dream Generator (an Art-Making Generative AI)
Exploring the Deep Dream Generator (an Art-Making Generative AI)
 
Generative AI
Generative AIGenerative AI
Generative AI
 
Introduction to ChatGPT
Introduction to ChatGPTIntroduction to ChatGPT
Introduction to ChatGPT
 
Introduction to ML (Machine Learning)
Introduction to ML (Machine Learning)Introduction to ML (Machine Learning)
Introduction to ML (Machine Learning)
 
Artificial intelligence introduction
Artificial intelligence introductionArtificial intelligence introduction
Artificial intelligence introduction
 
AI, Machine Learning, and Data Science Concepts
AI, Machine Learning, and Data Science ConceptsAI, Machine Learning, and Data Science Concepts
AI, Machine Learning, and Data Science Concepts
 
Generative AI and law.pptx
Generative AI and law.pptxGenerative AI and law.pptx
Generative AI and law.pptx
 
Using the power of Generative AI at scale
Using the power of Generative AI at scaleUsing the power of Generative AI at scale
Using the power of Generative AI at scale
 
Explainable AI in Industry (KDD 2019 Tutorial)
Explainable AI in Industry (KDD 2019 Tutorial)Explainable AI in Industry (KDD 2019 Tutorial)
Explainable AI in Industry (KDD 2019 Tutorial)
 
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNINGARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
 
Generative AI, WiDS 2023.pptx
Generative AI, WiDS 2023.pptxGenerative AI, WiDS 2023.pptx
Generative AI, WiDS 2023.pptx
 
Generative Models for General Audiences
Generative Models for General AudiencesGenerative Models for General Audiences
Generative Models for General Audiences
 
Fairness in AI (DDSW 2019)
Fairness in AI (DDSW 2019)Fairness in AI (DDSW 2019)
Fairness in AI (DDSW 2019)
 
Artificial intelligence and Creativity
Artificial intelligence and CreativityArtificial intelligence and Creativity
Artificial intelligence and Creativity
 
Generative adversarial networks
Generative adversarial networksGenerative adversarial networks
Generative adversarial networks
 
Prompt Engineering
Prompt EngineeringPrompt Engineering
Prompt Engineering
 
And then there were ... Large Language Models
And then there were ... Large Language ModelsAnd then there were ... Large Language Models
And then there were ... Large Language Models
 
Artifical intelligence
Artifical intelligenceArtifical intelligence
Artifical intelligence
 

Similar to Human-Machine Collaboration: Using art-making AI (CrAIyon) as cited work, or inspiration, reference, base

Designing Useful and Usable Augmented Reality Experiences
Designing Useful and Usable Augmented Reality Experiences Designing Useful and Usable Augmented Reality Experiences
Designing Useful and Usable Augmented Reality Experiences
Yan Xu
 
[Seminar] 200731 Hyeonwook Lee
[Seminar] 200731 Hyeonwook Lee[Seminar] 200731 Hyeonwook Lee
[Seminar] 200731 Hyeonwook Lee
ivaderivader
 
Session 1 AI literacy What is AI and how do we use it (video).pptx
Session 1 AI literacy What is AI and how do we use it (video).pptxSession 1 AI literacy What is AI and how do we use it (video).pptx
Session 1 AI literacy What is AI and how do we use it (video).pptx
jameshodgkinson9
 
Uncharted Together- Navigating AI's New Frontiers in Libraries
Uncharted Together- Navigating AI's New Frontiers in LibrariesUncharted Together- Navigating AI's New Frontiers in Libraries
Uncharted Together- Navigating AI's New Frontiers in Libraries
Brian Pichman
 
Bringing AI to Business Intelligence
Bringing AI to Business IntelligenceBringing AI to Business Intelligence
Bringing AI to Business Intelligence
Si Krishan
 
The Creative Ai storm
The Creative Ai stormThe Creative Ai storm
The Creative Ai storm
Leandro Righini
 
Artificialintelligence
ArtificialintelligenceArtificialintelligence
Artificialintelligence
Ravi Rao
 
AI tools in Scholarly Research and Publishing
AI tools in Scholarly Research and PublishingAI tools in Scholarly Research and Publishing
AI tools in Scholarly Research and Publishing
Brian Pichman
 
arti-ficial-inte-lligence
arti-ficial-inte-lligencearti-ficial-inte-lligence
arti-ficial-inte-lligence
IconicGroup
 
ChatGPT OpenAI Primer for Business
ChatGPT OpenAI Primer for BusinessChatGPT OpenAI Primer for Business
ChatGPT OpenAI Primer for Business
Dion Hinchcliffe
 
Artificial intelligence, machine learning and internet of things
Artificial intelligence, machine learning and internet of thingsArtificial intelligence, machine learning and internet of things
Artificial intelligence, machine learning and internet of things
Dr. Amit Gangwal Jain (MPharm., PhD.)
 
Poster: Multimodal "Art"-Making Generative AIs
Poster:  Multimodal "Art"-Making Generative AIsPoster:  Multimodal "Art"-Making Generative AIs
Poster: Multimodal "Art"-Making Generative AIs
Shalin Hai-Jew
 
AI for Nonprofits What You Need to Know-.pdf
AI for Nonprofits What You Need to Know-.pdfAI for Nonprofits What You Need to Know-.pdf
AI for Nonprofits What You Need to Know-.pdf
TechSoup
 
AUGMENTING CREATIVITY USING GEN AI FOR DESIGN & INNOVATION | TOJIN T. EAPEN
AUGMENTING CREATIVITY  USING GEN AI FOR DESIGN & INNOVATION | TOJIN T. EAPENAUGMENTING CREATIVITY  USING GEN AI FOR DESIGN & INNOVATION | TOJIN T. EAPEN
AUGMENTING CREATIVITY USING GEN AI FOR DESIGN & INNOVATION | TOJIN T. EAPEN
Tojin Eapen, PhD
 
THE AI FOR GRADE 5 AND 6 OF CBSE AND IGCSE
THE AI FOR GRADE 5 AND 6 OF CBSE AND IGCSETHE AI FOR GRADE 5 AND 6 OF CBSE AND IGCSE
THE AI FOR GRADE 5 AND 6 OF CBSE AND IGCSE
ssuserf02ffe
 
AI Workshops at Computers In Libraries 2024
AI Workshops at Computers In Libraries 2024AI Workshops at Computers In Libraries 2024
AI Workshops at Computers In Libraries 2024
Brian Pichman
 
the some artifical integellence for grade 5
the some artifical integellence for grade 5the some artifical integellence for grade 5
the some artifical integellence for grade 5
ssuserf02ffe
 
AI - Opportunities and Challenges
AI - Opportunities and ChallengesAI - Opportunities and Challenges
AI - Opportunities and Challenges
Bert Jan Schrijver
 
UX in the Age of AI: Leading with Design
UX in the Age of AI: Leading with DesignUX in the Age of AI: Leading with Design
UX in the Age of AI: Leading with Design
UXPA International
 
UX in the Age of AI: Leading with Design UXPA2018
UX in the Age of AI: Leading with Design UXPA2018UX in the Age of AI: Leading with Design UXPA2018
UX in the Age of AI: Leading with Design UXPA2018
Carol Smith
 

Similar to Human-Machine Collaboration: Using art-making AI (CrAIyon) as cited work, or inspiration, reference, base (20)

Designing Useful and Usable Augmented Reality Experiences
Designing Useful and Usable Augmented Reality Experiences Designing Useful and Usable Augmented Reality Experiences
Designing Useful and Usable Augmented Reality Experiences
 
[Seminar] 200731 Hyeonwook Lee
[Seminar] 200731 Hyeonwook Lee[Seminar] 200731 Hyeonwook Lee
[Seminar] 200731 Hyeonwook Lee
 
Session 1 AI literacy What is AI and how do we use it (video).pptx
Session 1 AI literacy What is AI and how do we use it (video).pptxSession 1 AI literacy What is AI and how do we use it (video).pptx
Session 1 AI literacy What is AI and how do we use it (video).pptx
 
Uncharted Together- Navigating AI's New Frontiers in Libraries
Uncharted Together- Navigating AI's New Frontiers in LibrariesUncharted Together- Navigating AI's New Frontiers in Libraries
Uncharted Together- Navigating AI's New Frontiers in Libraries
 
Bringing AI to Business Intelligence
Bringing AI to Business IntelligenceBringing AI to Business Intelligence
Bringing AI to Business Intelligence
 
The Creative Ai storm
The Creative Ai stormThe Creative Ai storm
The Creative Ai storm
 
Artificialintelligence
ArtificialintelligenceArtificialintelligence
Artificialintelligence
 
AI tools in Scholarly Research and Publishing
AI tools in Scholarly Research and PublishingAI tools in Scholarly Research and Publishing
AI tools in Scholarly Research and Publishing
 
arti-ficial-inte-lligence
arti-ficial-inte-lligencearti-ficial-inte-lligence
arti-ficial-inte-lligence
 
ChatGPT OpenAI Primer for Business
ChatGPT OpenAI Primer for BusinessChatGPT OpenAI Primer for Business
ChatGPT OpenAI Primer for Business
 
Artificial intelligence, machine learning and internet of things
Artificial intelligence, machine learning and internet of thingsArtificial intelligence, machine learning and internet of things
Artificial intelligence, machine learning and internet of things
 
Poster: Multimodal "Art"-Making Generative AIs
Poster:  Multimodal "Art"-Making Generative AIsPoster:  Multimodal "Art"-Making Generative AIs
Poster: Multimodal "Art"-Making Generative AIs
 
AI for Nonprofits What You Need to Know-.pdf
AI for Nonprofits What You Need to Know-.pdfAI for Nonprofits What You Need to Know-.pdf
AI for Nonprofits What You Need to Know-.pdf
 
AUGMENTING CREATIVITY USING GEN AI FOR DESIGN & INNOVATION | TOJIN T. EAPEN
AUGMENTING CREATIVITY  USING GEN AI FOR DESIGN & INNOVATION | TOJIN T. EAPENAUGMENTING CREATIVITY  USING GEN AI FOR DESIGN & INNOVATION | TOJIN T. EAPEN
AUGMENTING CREATIVITY USING GEN AI FOR DESIGN & INNOVATION | TOJIN T. EAPEN
 
THE AI FOR GRADE 5 AND 6 OF CBSE AND IGCSE
THE AI FOR GRADE 5 AND 6 OF CBSE AND IGCSETHE AI FOR GRADE 5 AND 6 OF CBSE AND IGCSE
THE AI FOR GRADE 5 AND 6 OF CBSE AND IGCSE
 
AI Workshops at Computers In Libraries 2024
AI Workshops at Computers In Libraries 2024AI Workshops at Computers In Libraries 2024
AI Workshops at Computers In Libraries 2024
 
the some artifical integellence for grade 5
the some artifical integellence for grade 5the some artifical integellence for grade 5
the some artifical integellence for grade 5
 
AI - Opportunities and Challenges
AI - Opportunities and ChallengesAI - Opportunities and Challenges
AI - Opportunities and Challenges
 
UX in the Age of AI: Leading with Design
UX in the Age of AI: Leading with DesignUX in the Age of AI: Leading with Design
UX in the Age of AI: Leading with Design
 
UX in the Age of AI: Leading with Design UXPA2018
UX in the Age of AI: Leading with Design UXPA2018UX in the Age of AI: Leading with Design UXPA2018
UX in the Age of AI: Leading with Design UXPA2018
 

More from Shalin Hai-Jew

HutchCC Grant Navigator - July 2024 (7th issue)
HutchCC Grant Navigator - July 2024 (7th issue)HutchCC Grant Navigator - July 2024 (7th issue)
HutchCC Grant Navigator - July 2024 (7th issue)
Shalin Hai-Jew
 
HutchCC Grant Navigator - June 2024 (6th issue)
HutchCC Grant Navigator - June 2024 (6th issue)HutchCC Grant Navigator - June 2024 (6th issue)
HutchCC Grant Navigator - June 2024 (6th issue)
Shalin Hai-Jew
 
HutchCC Grant Navigator - May 2024 (5th issue)
HutchCC Grant Navigator - May 2024 (5th issue)HutchCC Grant Navigator - May 2024 (5th issue)
HutchCC Grant Navigator - May 2024 (5th issue)
Shalin Hai-Jew
 
HutchCC Grant Navigator - April 2024 (4th issue)
HutchCC Grant Navigator - April 2024 (4th issue)HutchCC Grant Navigator - April 2024 (4th issue)
HutchCC Grant Navigator - April 2024 (4th issue)
Shalin Hai-Jew
 
HutchCC Grant Navigator - March 2024 (3rd issue)
HutchCC Grant Navigator - March 2024 (3rd issue)HutchCC Grant Navigator - March 2024 (3rd issue)
HutchCC Grant Navigator - March 2024 (3rd issue)
Shalin Hai-Jew
 
HutchCC Grant Navigator - February 2024 (2nd issue)
HutchCC Grant Navigator - February  2024 (2nd issue)HutchCC Grant Navigator - February  2024 (2nd issue)
HutchCC Grant Navigator - February 2024 (2nd issue)
Shalin Hai-Jew
 
HutchCC Grant Navigator - January 2024 (inaugural)
HutchCC Grant Navigator - January 2024 (inaugural)HutchCC Grant Navigator - January 2024 (inaugural)
HutchCC Grant Navigator - January 2024 (inaugural)
Shalin Hai-Jew
 
Writing a Long Non-Fiction Chapter......
Writing a Long Non-Fiction Chapter......Writing a Long Non-Fiction Chapter......
Writing a Long Non-Fiction Chapter......
Shalin Hai-Jew
 
Overcoming Reluctance to Pursuing Grant Funds in Academia
Overcoming Reluctance to Pursuing Grant Funds in AcademiaOvercoming Reluctance to Pursuing Grant Funds in Academia
Overcoming Reluctance to Pursuing Grant Funds in Academia
Shalin Hai-Jew
 
Pursuing Grants in Higher Ed
Pursuing Grants in Higher EdPursuing Grants in Higher Ed
Pursuing Grants in Higher Ed
Shalin Hai-Jew
 
Contrasting My Beginner Folk Art vs. Machine Co-Created Folk Art with an Art-...
Contrasting My Beginner Folk Art vs. Machine Co-Created Folk Art with an Art-...Contrasting My Beginner Folk Art vs. Machine Co-Created Folk Art with an Art-...
Contrasting My Beginner Folk Art vs. Machine Co-Created Folk Art with an Art-...
Shalin Hai-Jew
 
Poster: Digital Templating
Poster:  Digital TemplatingPoster:  Digital Templating
Poster: Digital Templating
Shalin Hai-Jew
 
Poster: Digital Qualitative Codebook
Poster:  Digital Qualitative CodebookPoster:  Digital Qualitative Codebook
Poster: Digital Qualitative Codebook
Shalin Hai-Jew
 
Common Neophyte Academic Book Manuscript Reviewer Mistakes
Common Neophyte Academic Book Manuscript Reviewer MistakesCommon Neophyte Academic Book Manuscript Reviewer Mistakes
Common Neophyte Academic Book Manuscript Reviewer Mistakes
Shalin Hai-Jew
 
Augmented Reality in Multi-Dimensionality: Design for Space, Motion, Multiple...
Augmented Reality in Multi-Dimensionality: Design for Space, Motion, Multiple...Augmented Reality in Multi-Dimensionality: Design for Space, Motion, Multiple...
Augmented Reality in Multi-Dimensionality: Design for Space, Motion, Multiple...
Shalin Hai-Jew
 
Introduction to Adobe Aero 2023
Introduction to Adobe Aero 2023Introduction to Adobe Aero 2023
Introduction to Adobe Aero 2023
Shalin Hai-Jew
 
Some Ways to Conduct SoTL Research in Augmented Reality (AR) for Teaching and...
Some Ways to Conduct SoTL Research in Augmented Reality (AR) for Teaching and...Some Ways to Conduct SoTL Research in Augmented Reality (AR) for Teaching and...
Some Ways to Conduct SoTL Research in Augmented Reality (AR) for Teaching and...
Shalin Hai-Jew
 
Augmented Reality for Learning and Accessibility
Augmented Reality for Learning and AccessibilityAugmented Reality for Learning and Accessibility
Augmented Reality for Learning and Accessibility
Shalin Hai-Jew
 
Engaging Pixabay as an open-source contributor to hone digital image editing,...
Engaging Pixabay as an open-source contributor to hone digital image editing,...Engaging Pixabay as an open-source contributor to hone digital image editing,...
Engaging Pixabay as an open-source contributor to hone digital image editing,...
Shalin Hai-Jew
 
Publishing about Educational Technology
Publishing about Educational TechnologyPublishing about Educational Technology
Publishing about Educational Technology
Shalin Hai-Jew
 

More from Shalin Hai-Jew (20)

HutchCC Grant Navigator - July 2024 (7th issue)
HutchCC Grant Navigator - July 2024 (7th issue)HutchCC Grant Navigator - July 2024 (7th issue)
HutchCC Grant Navigator - July 2024 (7th issue)
 
HutchCC Grant Navigator - June 2024 (6th issue)
HutchCC Grant Navigator - June 2024 (6th issue)HutchCC Grant Navigator - June 2024 (6th issue)
HutchCC Grant Navigator - June 2024 (6th issue)
 
HutchCC Grant Navigator - May 2024 (5th issue)
HutchCC Grant Navigator - May 2024 (5th issue)HutchCC Grant Navigator - May 2024 (5th issue)
HutchCC Grant Navigator - May 2024 (5th issue)
 
HutchCC Grant Navigator - April 2024 (4th issue)
HutchCC Grant Navigator - April 2024 (4th issue)HutchCC Grant Navigator - April 2024 (4th issue)
HutchCC Grant Navigator - April 2024 (4th issue)
 
HutchCC Grant Navigator - March 2024 (3rd issue)
HutchCC Grant Navigator - March 2024 (3rd issue)HutchCC Grant Navigator - March 2024 (3rd issue)
HutchCC Grant Navigator - March 2024 (3rd issue)
 
HutchCC Grant Navigator - February 2024 (2nd issue)
HutchCC Grant Navigator - February  2024 (2nd issue)HutchCC Grant Navigator - February  2024 (2nd issue)
HutchCC Grant Navigator - February 2024 (2nd issue)
 
HutchCC Grant Navigator - January 2024 (inaugural)
HutchCC Grant Navigator - January 2024 (inaugural)HutchCC Grant Navigator - January 2024 (inaugural)
HutchCC Grant Navigator - January 2024 (inaugural)
 
Writing a Long Non-Fiction Chapter......
Writing a Long Non-Fiction Chapter......Writing a Long Non-Fiction Chapter......
Writing a Long Non-Fiction Chapter......
 
Overcoming Reluctance to Pursuing Grant Funds in Academia
Overcoming Reluctance to Pursuing Grant Funds in AcademiaOvercoming Reluctance to Pursuing Grant Funds in Academia
Overcoming Reluctance to Pursuing Grant Funds in Academia
 
Pursuing Grants in Higher Ed
Pursuing Grants in Higher EdPursuing Grants in Higher Ed
Pursuing Grants in Higher Ed
 
Contrasting My Beginner Folk Art vs. Machine Co-Created Folk Art with an Art-...
Contrasting My Beginner Folk Art vs. Machine Co-Created Folk Art with an Art-...Contrasting My Beginner Folk Art vs. Machine Co-Created Folk Art with an Art-...
Contrasting My Beginner Folk Art vs. Machine Co-Created Folk Art with an Art-...
 
Poster: Digital Templating
Poster:  Digital TemplatingPoster:  Digital Templating
Poster: Digital Templating
 
Poster: Digital Qualitative Codebook
Poster:  Digital Qualitative CodebookPoster:  Digital Qualitative Codebook
Poster: Digital Qualitative Codebook
 
Common Neophyte Academic Book Manuscript Reviewer Mistakes
Common Neophyte Academic Book Manuscript Reviewer MistakesCommon Neophyte Academic Book Manuscript Reviewer Mistakes
Common Neophyte Academic Book Manuscript Reviewer Mistakes
 
Augmented Reality in Multi-Dimensionality: Design for Space, Motion, Multiple...
Augmented Reality in Multi-Dimensionality: Design for Space, Motion, Multiple...Augmented Reality in Multi-Dimensionality: Design for Space, Motion, Multiple...
Augmented Reality in Multi-Dimensionality: Design for Space, Motion, Multiple...
 
Introduction to Adobe Aero 2023
Introduction to Adobe Aero 2023Introduction to Adobe Aero 2023
Introduction to Adobe Aero 2023
 
Some Ways to Conduct SoTL Research in Augmented Reality (AR) for Teaching and...
Some Ways to Conduct SoTL Research in Augmented Reality (AR) for Teaching and...Some Ways to Conduct SoTL Research in Augmented Reality (AR) for Teaching and...
Some Ways to Conduct SoTL Research in Augmented Reality (AR) for Teaching and...
 
Augmented Reality for Learning and Accessibility
Augmented Reality for Learning and AccessibilityAugmented Reality for Learning and Accessibility
Augmented Reality for Learning and Accessibility
 
Engaging Pixabay as an open-source contributor to hone digital image editing,...
Engaging Pixabay as an open-source contributor to hone digital image editing,...Engaging Pixabay as an open-source contributor to hone digital image editing,...
Engaging Pixabay as an open-source contributor to hone digital image editing,...
 
Publishing about Educational Technology
Publishing about Educational TechnologyPublishing about Educational Technology
Publishing about Educational Technology
 

Recently uploaded

Sonkoloniya documentation - ONEprojukti.pdf
Sonkoloniya documentation - ONEprojukti.pdfSonkoloniya documentation - ONEprojukti.pdf
Sonkoloniya documentation - ONEprojukti.pdf
SubhamMandal40
 
RPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptx
RPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptxRPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptx
RPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptx
SynapseIndia
 
Use Cases & Benefits of RPA in Manufacturing in 2024.pptx
Use Cases & Benefits of RPA in Manufacturing in 2024.pptxUse Cases & Benefits of RPA in Manufacturing in 2024.pptx
Use Cases & Benefits of RPA in Manufacturing in 2024.pptx
SynapseIndia
 
The Role of IoT in Australian Mobile App Development - PDF Guide
The Role of IoT in Australian Mobile App Development - PDF GuideThe Role of IoT in Australian Mobile App Development - PDF Guide
The Role of IoT in Australian Mobile App Development - PDF Guide
Shiv Technolabs
 
How Social Media Hackers Help You to See Your Wife's Message.pdf
How Social Media Hackers Help You to See Your Wife's Message.pdfHow Social Media Hackers Help You to See Your Wife's Message.pdf
How Social Media Hackers Help You to See Your Wife's Message.pdf
HackersList
 
EuroPython 2024 - Streamlining Testing in a Large Python Codebase
EuroPython 2024 - Streamlining Testing in a Large Python CodebaseEuroPython 2024 - Streamlining Testing in a Large Python Codebase
EuroPython 2024 - Streamlining Testing in a Large Python Codebase
Jimmy Lai
 
Google I/O Extended Harare Merged Slides
Google I/O Extended Harare Merged SlidesGoogle I/O Extended Harare Merged Slides
Google I/O Extended Harare Merged Slides
Google Developer Group - Harare
 
Girls Call Churchgate 9910780858 Provide Best And Top Girl Service And No1 in...
Girls Call Churchgate 9910780858 Provide Best And Top Girl Service And No1 in...Girls Call Churchgate 9910780858 Provide Best And Top Girl Service And No1 in...
Girls Call Churchgate 9910780858 Provide Best And Top Girl Service And No1 in...
maigasapphire
 
CiscoIconsLibrary cours de réseau VLAN.ppt
CiscoIconsLibrary cours de réseau VLAN.pptCiscoIconsLibrary cours de réseau VLAN.ppt
CiscoIconsLibrary cours de réseau VLAN.ppt
moinahousna
 
High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...
High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...
High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...
bhumivarma35300
 
(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...
(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...
(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...
Priyanka Aash
 
Figma AI Design Generator_ In-Depth Review.pdf
Figma AI Design Generator_ In-Depth Review.pdfFigma AI Design Generator_ In-Depth Review.pdf
Figma AI Design Generator_ In-Depth Review.pdf
Management Institute of Skills Development
 
Girls call Kolkata 👀 XXXXXXXXXXX 👀 Rs.9.5 K Cash Payment With Room Delivery
Girls call Kolkata 👀 XXXXXXXXXXX 👀 Rs.9.5 K Cash Payment With Room Delivery Girls call Kolkata 👀 XXXXXXXXXXX 👀 Rs.9.5 K Cash Payment With Room Delivery
Girls call Kolkata 👀 XXXXXXXXXXX 👀 Rs.9.5 K Cash Payment With Room Delivery
sunilverma7884
 
Data Integration Basics: Merging & Joining Data
Data Integration Basics: Merging & Joining DataData Integration Basics: Merging & Joining Data
Data Integration Basics: Merging & Joining Data
Safe Software
 
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdfBT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
Neo4j
 
[Talk] Moving Beyond Spaghetti Infrastructure [AOTB] 2024-07-04.pdf
[Talk] Moving Beyond Spaghetti Infrastructure [AOTB] 2024-07-04.pdf[Talk] Moving Beyond Spaghetti Infrastructure [AOTB] 2024-07-04.pdf
[Talk] Moving Beyond Spaghetti Infrastructure [AOTB] 2024-07-04.pdf
Kief Morris
 
find out more about the role of autonomous vehicles in facing global challenges
find out more about the role of autonomous vehicles in facing global challengesfind out more about the role of autonomous vehicles in facing global challenges
find out more about the role of autonomous vehicles in facing global challenges
huseindihon
 
Three New Criminal Laws in India 1 July 2024
Three New Criminal Laws in India 1 July 2024Three New Criminal Laws in India 1 July 2024
Three New Criminal Laws in India 1 July 2024
aakash malhotra
 
Dublin_mulesoft_meetup_Mulesoft_Salesforce_Integration (1).pptx
Dublin_mulesoft_meetup_Mulesoft_Salesforce_Integration (1).pptxDublin_mulesoft_meetup_Mulesoft_Salesforce_Integration (1).pptx
Dublin_mulesoft_meetup_Mulesoft_Salesforce_Integration (1).pptx
Kunal Gupta
 
Active Inference is a veryyyyyyyyyyyyyyyyyyyyyyyy
Active Inference is a veryyyyyyyyyyyyyyyyyyyyyyyyActive Inference is a veryyyyyyyyyyyyyyyyyyyyyyyy
Active Inference is a veryyyyyyyyyyyyyyyyyyyyyyyy
RaminGhanbari2
 

Recently uploaded (20)

Sonkoloniya documentation - ONEprojukti.pdf
Sonkoloniya documentation - ONEprojukti.pdfSonkoloniya documentation - ONEprojukti.pdf
Sonkoloniya documentation - ONEprojukti.pdf
 
RPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptx
RPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptxRPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptx
RPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptx
 
Use Cases & Benefits of RPA in Manufacturing in 2024.pptx
Use Cases & Benefits of RPA in Manufacturing in 2024.pptxUse Cases & Benefits of RPA in Manufacturing in 2024.pptx
Use Cases & Benefits of RPA in Manufacturing in 2024.pptx
 
The Role of IoT in Australian Mobile App Development - PDF Guide
The Role of IoT in Australian Mobile App Development - PDF GuideThe Role of IoT in Australian Mobile App Development - PDF Guide
The Role of IoT in Australian Mobile App Development - PDF Guide
 
How Social Media Hackers Help You to See Your Wife's Message.pdf
How Social Media Hackers Help You to See Your Wife's Message.pdfHow Social Media Hackers Help You to See Your Wife's Message.pdf
How Social Media Hackers Help You to See Your Wife's Message.pdf
 
EuroPython 2024 - Streamlining Testing in a Large Python Codebase
EuroPython 2024 - Streamlining Testing in a Large Python CodebaseEuroPython 2024 - Streamlining Testing in a Large Python Codebase
EuroPython 2024 - Streamlining Testing in a Large Python Codebase
 
Google I/O Extended Harare Merged Slides
Google I/O Extended Harare Merged SlidesGoogle I/O Extended Harare Merged Slides
Google I/O Extended Harare Merged Slides
 
Girls Call Churchgate 9910780858 Provide Best And Top Girl Service And No1 in...
Girls Call Churchgate 9910780858 Provide Best And Top Girl Service And No1 in...Girls Call Churchgate 9910780858 Provide Best And Top Girl Service And No1 in...
Girls Call Churchgate 9910780858 Provide Best And Top Girl Service And No1 in...
 
CiscoIconsLibrary cours de réseau VLAN.ppt
CiscoIconsLibrary cours de réseau VLAN.pptCiscoIconsLibrary cours de réseau VLAN.ppt
CiscoIconsLibrary cours de réseau VLAN.ppt
 
High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...
High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...
High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...
 
(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...
(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...
(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...
 
Figma AI Design Generator_ In-Depth Review.pdf
Figma AI Design Generator_ In-Depth Review.pdfFigma AI Design Generator_ In-Depth Review.pdf
Figma AI Design Generator_ In-Depth Review.pdf
 
Girls call Kolkata 👀 XXXXXXXXXXX 👀 Rs.9.5 K Cash Payment With Room Delivery
Girls call Kolkata 👀 XXXXXXXXXXX 👀 Rs.9.5 K Cash Payment With Room Delivery Girls call Kolkata 👀 XXXXXXXXXXX 👀 Rs.9.5 K Cash Payment With Room Delivery
Girls call Kolkata 👀 XXXXXXXXXXX 👀 Rs.9.5 K Cash Payment With Room Delivery
 
Data Integration Basics: Merging & Joining Data
Data Integration Basics: Merging & Joining DataData Integration Basics: Merging & Joining Data
Data Integration Basics: Merging & Joining Data
 
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdfBT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
 
[Talk] Moving Beyond Spaghetti Infrastructure [AOTB] 2024-07-04.pdf
[Talk] Moving Beyond Spaghetti Infrastructure [AOTB] 2024-07-04.pdf[Talk] Moving Beyond Spaghetti Infrastructure [AOTB] 2024-07-04.pdf
[Talk] Moving Beyond Spaghetti Infrastructure [AOTB] 2024-07-04.pdf
 
find out more about the role of autonomous vehicles in facing global challenges
find out more about the role of autonomous vehicles in facing global challengesfind out more about the role of autonomous vehicles in facing global challenges
find out more about the role of autonomous vehicles in facing global challenges
 
Three New Criminal Laws in India 1 July 2024
Three New Criminal Laws in India 1 July 2024Three New Criminal Laws in India 1 July 2024
Three New Criminal Laws in India 1 July 2024
 
Dublin_mulesoft_meetup_Mulesoft_Salesforce_Integration (1).pptx
Dublin_mulesoft_meetup_Mulesoft_Salesforce_Integration (1).pptxDublin_mulesoft_meetup_Mulesoft_Salesforce_Integration (1).pptx
Dublin_mulesoft_meetup_Mulesoft_Salesforce_Integration (1).pptx
 
Active Inference is a veryyyyyyyyyyyyyyyyyyyyyyyy
Active Inference is a veryyyyyyyyyyyyyyyyyyyyyyyyActive Inference is a veryyyyyyyyyyyyyyyyyyyyyyyy
Active Inference is a veryyyyyyyyyyyyyyyyyyyyyyyy
 

Human-Machine Collaboration: Using art-making AI (CrAIyon) as cited work, or inspiration, reference, base

  • 1. Human-Machine Collaboration Using art-making AI (CrAIyon) as cited work, or inspiration, reference, base Shalin Hai-Jew Kansas State University
  • 2. 2
  • 3. 3
  • 4. 4
  • 5. 5
  • 6. 6
  • 7. Presentation Overview Generative AI can create natural language text in various formats and voices and perspectives (ChatGPT) and emulative style-transferred visual images (CrAIyon, DALL-E, MidJourney, and others). Controversies are swirling around various aspects of generative AI. 7
  • 8. Presentation Overview (cont.) How the generative AI tools are made and run: • uses of copyrighted seeding texts and visuals in databases to train the AIs (without the permission of the original authors, in some cases), • guardrails around generative contents (such as those against x-rated content, against hate speech, against various dimensioned stereotypes, etc.) vs. those without any guardrails, 8
  • 9. Presentation Overview (cont.) How the generative AI tools are used: • academic honesty, citations, • commercial applications, • authorship and crediting (and rewards and liabilities) 9
  • 10. Presentation Overview(cont.) • A typical sequence in using a text-seeded generative AI that creates digital visuals is to use seeding phrases to describe the desired visual (often multiple iterations)…selecting the image…downloading the image as a .webp (“weppy”) format (neither raster nor vector), and directly using the image with citation…or using the image as an inspiration, reference, or base. (One creates a derived image, by borrowing some visual concepts from the generative AI.) “Photorealistic” asks the AI for create an image that looks like an actual photo. “after Picasso” or “in the style of Georgia Totto O’Keeffe” asks for a style transfer from the known works of the artist into a different context. 10
  • 11. Presentation Overview (cont.) • [Please see “Co-Creating Common Art with the CrAIyon AI” on SlideShare: https://www.slideshare.net/ShalinHaiJew/cocreating- common-art-with-the-craiyon-ai for a clearer visual gist of this phenomenon.] • The presenter wrote an article titled “CrAIyon: Putting an art-making AI through its paces” on the C2C Digital Magazine at (https://scalar.usc.edu/works/c2c-digital-magazine-fall-2022---winter- 2023/craiyon-paces). As a former college faculty member and current instructional designer, the presenter introduces the topic and throws a conversation around the complexities. 11
  • 12. Giving CrAIyon a Roll 12
  • 13. What are some text prompts that you might use with CrAIyon? • Remember that this tool enables a wide range of languages and symbols and combinations. • This tool can engage in “style transfer,” so if you have a particular visual artist you like, you can evoke that artist’s name. • You can evoke various materials that you want the generative AI to produce. • Go a few rounds. Iterate from your original text prompt. Or try some highly variant prompts. • Any visuals worth downloading (.webp)? 13
  • 14. Impressions? (first or otherwise) • What are you noticing about the machine-generated visuals? • Did anyone try “photorealistic” as one of their prompts? • Did anyone try “after” a particular artist style? • Did anyone try a particular material effect? 14
  • 15. Impressions? (first or otherwise) (cont.) • Do you feel like you could export something practically useful? Impractically useful? • What do you like? Why? • What do you dislike? Why? • What are some practical applications for you? 15
  • 16. Impressions? (first or otherwise) (cont.) • Are you starting to notice some visual tropes that the AI has? • Whare are some strengths of the generative AI (based on impressions)? What are some weaknesses? • If you could change the tool capabilities, what would you do, and why? 16
  • 17. Debate around Human-Machine “Collaboration”…and Credit In terms of generative AI 17
  • 18. 18
  • 19. Generative AI… • …refers to computational programs that emulate humans by generating various content (text, audio, imagery, motion visuals, video, and other elements, including combines audiovisual ones) • The AI programs learn through large samples of big data, so it can emulate nuances of understandings…although such programs are in early years (some compare them to “teenagers”). 19
  • 20. Generative AI (cont.) • Generative adversarial networks (GANs) do not only generate contents to particular objectives, but they have a built-in test of quality / veracity to desired outcomes against which the generative aspect strives to improve. • Generative AI can generate content into ∞ and beyond, but there may not be enough human attention (attention economy) to enjoy the various works. The works need to be meaningful to humans. 20
  • 21. Human in the Loop • As it stands, the generative AIs may be prompted in a mix of ways: • Textual prompts to help the AI know what is desirable in terms of visuals, so it can output various visuals for consideration • Visual prompts to help the AI have examples of the visual gist and perhaps content that may be desirable, so it can output various visuals for consideration • Combined inputs (textual and visual) • And others 21
  • 22. 22
  • 23. Debate around Human-Machine “Collaboration” • How much is the human responsible for the artwork vs. the computing machine? • Does the computing machine have an agentic role given its design as “artificial intelligence”? • Does it matter if the work is run unedited directly from the generative AI download? • Does it matter if the work is edited and changed, superficially? • Does it matter if the work is edited and changed, down to the pixel level? 23
  • 24. Debate around Human-Machine “Collaboration” (cont.) • Who has the first idea (remember that the machine can turn out something serendipitous and unconceptualized by the person who inputs the prompt)? • What if the content (text or visual) is created sui generis (unique, one-of-a- kind) by the computing machine? • What if the content (text or visual) is created ex nihilo (from nothing, specifically without inputs by people’s works or by people’s prompts)? • Who is responsible for the aesthetics? The composition? The social angle? And why? • Who is the “animating agent” and why? 24
  • 25. …And Credit Human • Traditionally, artists are credited for original single-artist and team-created fine artworks. • The artist’s name and personality and history serve as an artist brand. Machine • Can AI be credited for (fine and other) artworks? • What are the implications for renown? For money? For payment? For prizes? • Should the programmers behind an art-making AI be credited for the artworks? 25
  • 26. …And Reward…and Liability Human • In tradition, the artist bears responsibility for the work to some degree…and then the owner thereafter… Machine • In tradition, computing machines do not generally bear reward or liability. Rather, their owners do. 26
  • 27. Reapportionment of Credit? Rewards? Liabilities? 27 • Should credit be reapportioned? Rewards? Liabilities?
  • 28. Drawing Lines…Or Not… • How should schools address generative AI? • How should professions? (How can people show their value especially while in competition with generative AI works?) • How should publishers? • Or is this too soon to start drawing lines? 28
  • 29. What Would You Do, and Why? 29
  • 30. 30
  • 31. 31
  • 32. Q1: How would you use generative AI in your respective contexts? • And then, do you feel the need to disclose that you use an AI for assistance or some other reason? • Do you count neural filters (in digital image editing) as AI (after all, various neural networks were used to tune the digital image editing, to transfer styles, to recolor photos, to change hue / saturation, to change the depth-of-field, to enable deep zoom, to enable facial editing, and others)? 32
  • 33. Q2: If you teach or edit, what would your policies be about generative AI? Why? • Explain why your policy is timely…but fair…and pro-learner / pro- author (or researcher). • How would you differentiate something that is created from generative AI vs. not? • What are ways to manage this issue of generative AI in teaching and learning? 33
  • 34. Q3: What can learners learn from generative AI if it is harnessed as a learning tool? • Given the state of the world, with advanced technologies coming to the fore in the 4IR (Fourth Industrial Revolution), how can people adapt and better position themselves for these fast-arriving changes? • How would you as a learner harness generative AI? • Are there ways to make generative AI more friendly for learners? • Much of generative AI has been democratized, with free web-facing portals and apps. Are there other ways to extend the benefits to the world? 34
  • 35. Q4: What are some ways to position for the impact of generative AI on human jobs? • Generative AI is thought to squelch some white-collar jobs while creating other jobs. What do you see as the possible impact of generative AI on your particular work and professional circumstance? Why? • If you have funds to retrain, how would you use those funds? • What are some other AIs and technologies on the horizon that may well have a big impact on the near-future? The mid-term future? 35
  • 36. Q5: Any questions for the group that have not yet been asked? 36
  • 37. My Own Usage of CrAIyon 37
  • 38. 38
  • 39. 39
  • 40. Some Real-Life Applications Practical: Visuals in an Open-Source, Open-Access Magazine • An open-source and open-access publication needs some light visuals to break up the gray text. • I have gone through social imagery datasets and not found anything that the author likes. • I go to generative AI to output a few ideas, and then I create a visual image to use with the generated image as an inspiration or a reference image (used for its lines which I capture via trace). Impractical: Amusement, Entertainment • I want to be amused. I can go to a generative AI with various text prompts to see what it will output. Some can be highly surprising and funny. (Generative AIs can have a strange sense of physics and bodies and hands and eyes.) • A generative AI can offer high entertainment value. 40
  • 41. Some Real-Life Applications(cont.) Practical: Learning about Digital Image Editing • I am practicing digital image editing. I want to learn new functions in some very complex digital image editing software. • I create some unusual prompts, and then I use the imagery to apply new learning. • I also want to learn more about AI…and how it interacts with language. Impractical: Open-Sharing of Social Imagery • I want to create visuals for open- sharing on the Social Web. I conceptualize an idea…and generate some images…and then use those images to serve as references for an original visual. • Anything used more directly is credited as from AI. 41
  • 42. Some Real-Life Applications(cont.) Practical: Learning about Visual Thinking • In other times, I want to learn how to create moods and other visual effects. The generative AI can offer fresh insights. • Ditto with various visual communications messages…some banal…and some more creative… • Sometimes, I want to understand word definitions in a visual sense. Impractical: Wasting Time • In between work, sometimes, it helps to just put in a text prompt and have the generative AI doodle something (in under 2 minutes). • Sometimes, there is the additional benefit of learning…but a distraction is sometimes very welcome. 42
  • 43. Some Initial Personal Observations • There is not a straight-line to the visual I usually want, which tends to be somewhat artsy and strange. • Iterating from an initial prompt with additional prompts may not get me much closer. • Word order only seems to matter sometimes. • It does help to know the lingo for digital image editing and analog image making (sketching, drawing, painting, mixed media, and others). • The generative AI is too often literal and less symbolic and less figurative. It is almost never poetic. • Occasionally, there is a fluke that can result in something very aesthetically pleasing and unexpected. 43
  • 44. Some Initial Personal Observations (cont.) • The generative AI, CrAIyon, IMHO, has its own quirks and signatures (based on my half-year of experiences with it). • It draws famous (and non-famous people badly, with weird eyes and bad hands when it is trying to be “photorealistic”. • It has a hard time drawing human proportions, too. • It draws animals poorly, without a real-world sense of anatomy. • It blurs much of a small image. (Blurring reads as non-committal.) • It seems to like spirals to stand in for something precise. • It does not do clean gridlines. • It does not seem to do gradients. 44
  • 45. Some Initial Personal Observations (cont.) • It seems to have some bias towards spooky things. • It sometimes goes full-bore stereotypical. • It sometimes pulls people in its own quirky universe instead of aligning with the real world. • Between figurative and abstract, it seems to do the middle ground fairly well but not those on the extreme ends. • It does not handle text (probably there is some throttling back against the uses of any language…so it has a doodle-y version of its own). 45
  • 46. Some Initial Personal Observations (cont.) Some of my purposeful and unpurposeful misadventures: • When I typed in “fairytales for men,” the AI generated 9 visuals of men in various fashion walking down catwalks. • When I typed in “wild,” the generative AI came up with a variety of apparent mammals that do not exist except in its own imagination. These are patchwork animals, with patches of skin, some horns, different hooves, and so on. 46
  • 47. Some Initial Personal Observations (cont.) • Truth to tell, I am mostly generally impressed and appreciative. 47
  • 48. 48
  • 49. The Upsides • So to end on an upside, I like CrAIyon because of the following: • It is always game. Whatever prompt I put in, it always kicks up something. • It outputs visuals I can practically use in most cases. • It sometimes outdoes itself and offers me something that is easy to make look artful. [But this is after years of my work in the digital image editing space.] • It is surprising now and again. 49
  • 50. The Upsides (cont.) • While it has challenges with some shapes, it composites well. • It handles values (lights and darks) well. • I think it’s working on its color sensibilities. Often, it can be quite muted. It does not take risks in its color choices. 50
  • 51. The Upsides (cont.) • I for one will keep right on learning…because it helps to be ready. And this saves so much on time and analog art materials. Well, I do have some time sinks where I spend an hour digitally editing a work until I am satisfied. • We should test limits… • My uses of generative AI (currently) are for “artwork” with a lower- case “a,” nothing aspiring to high art. My uses are for common art. 51
  • 52. A Caveat • Generative AI really does make my life somewhat easier when I have to chase images, but the jury (general public, decision makers, and others) is still out about the uses of generative AI-supported visuals…so perhaps we need to see how the world shapes out in terms of its approaches. 52
  • 53. 53
  • 54. 54
  • 55. Conclusion and Contact • Dr. Shalin Hai-Jew • Instructional Design • ITS • Kansas State University • 785-532-5262 • shalin@ksu.edu • Note: All the visuals in the slideshow (save the cross-functional diagram) were seeded with CrAIyon visuals but edited pretty heavily in Adobe Illustrator and Adobe Photoshop. Some could have run unedited, but I wanted to change these up from the originals. 55
  • 56. 56