I appreciate design thinking as a structured form of empathy.

I found each of the exercises highly enriching. If I could change one thing, I would make prototype much earlier on in the process. I feel like this would force the team to think more deeply about the features that they want.

Human-to-machine was originally published in Advanced Design for Artificial Intelligence on Medium, where people are continuing the conversation by highlighting and responding to this story.

Background

Museums are popular with students and tourists, nevertheless, they are commonly assessed as “boring” or un-engaging.” We propose to use the records of historical figures to create interactive projections therein. We aim to provide an immersive tool and customized experience for museum visitors, thus radicalizing and radically improving their experience. We would like to find out the goals of students and tourists when they visit the museums, and in what aspects our product could create enjoyable experiences for them during their visits and increase their willingness to revisit the museums. Besides, we need to learn about visitors previous experiences, their thoughts and feelings about visiting a museums which would help us identify the opportunities and challenges of the interactive AI tool.

User Frame(a)

Chosen Target Users: Students and Travelers

Business Frame(k)

Scope

We acknowledge that we cannot apply our application to all historical figures. This would require voice sample, historical records, and resources that we do not currently have. We anticipate our product becoming associated with museum promotions (i.e Rosa Parks for February, which is Black History Month).

Ambition Level

We plan to use only one historical figure for our proof of concept. However, we hope that our product will have the effect of making history more engaging. Most people do not enjoy reading about history, or visiting status-quo museums. By creating an interactive and unique experience, we would increase people’s willingness to engage with history, and decrease their ignorance.

Metrics

We will have achieved success if museums show interest in our product, and if museum visitors display an improved experience at museums.

Museum Staff

technicians

Visitors

Professionals /historians

volunteers

Features

Product

Service

Communication

Environments

New Business

Problem Frame(lu)

Element

Primary User

Needs and Activities

Solution Components

Implementer

Frame

Options

College Students

Historical and Cultural

Education

Product

Museum Staff

Local Adults

Historical and Cultural

Education

Product

Museum Staff

Example Problem Frame

College Students

Historical and Cultural

Education

Product

Museum Staff

Interactive Projection of a historical figure

Local Adults

Historical and Cultural

Education

Product

Museum Staff

Interactive Projection of a historical figure

Problem statement

Helping first-time and disengaged vistors at museams (such as LBJ, which will be our test sight) to learn and enjoy the exhibition through interacting with visual historical character. 

Research objective

The purpose of the study is to answer our hypotheses and questions, and understand the inconveniences visitors have when learning about historical characters at museums.

Target user

• Primary user: travelers and students who visit LBJ museum for the first time and often doesn’t know much about exhibition before their visit, but they want to learn.
• Secondary user: the expert with great deal of knowledge on a subject matter. They are looking to deepen their knowledge.

Research question

QUESTION/HYPOTHESIS

IMPORTANCE

We think that the current experience of learning about historical characters (reading or looking at exhibits) is boring and unengaging

• What is the current experience of learning about historical characters when visiting the LBJ museum?
• What are the key factors to cause visitors to feel bored during their visit at the exhibition?

Critical

We think that visitors have a hard time to find detailed context when they are interested in a specific subject

• What did visitors do when they want know more about the subject?

Critical

We think that visitors do not retain the information that they learned at exhibition for a significant amount of time

• What will visitors do to recall the things they learned from the exhibition?

Critical

We think visitors want to have an enjoyable and interactive experience when visiting a history museum

• How is the experience of visiting a science museum different from the experience of visiting a history museum?

Critical

We think that visitors feel distracted when using electronic device during their visit

• What do visitors feel about using electronic device?
• If visitors feel distracted, what will visitors do to make them feel undistracted?

Critical

We think developing a visual interactive character through AI can provide an enjoyable and engaging way for visitors to learn about a historical character

• How do visitors feel about interacting with a visual interactive character?
• Will visitors use our product if they are satisfied with the concept?

Critical

TBD

TBD

TBD

TBD

Importance Key:

● Critical: We cannot proceed without this information.

● Useful: This information would be helpful in ensuring success, but it’s not preventing progress.

● Nice to know: This information would be informative, but we don’t need it to proceed.

Research method

Method

Participants

Objective

Analysis or synthesis approach

Site Visits

TBD

To get a better understand of the current experience of learning a historical figure

Synthesis of observations

Interviews

TBD

To evaluate the status quo and validate our hypotheses

Journey Mapping

Concept Validation

TBD

To validate our AI concept, and to measure intention and usefulness

Analysis of survey data

Prototype Validation

TBD

To validate and refine our prototype and to determine whether we meet users’ needs

TBD

Background Research (Internal or External sources) or Literature Review

TBD

To fill in as many knowledge gaps as possible before conducting research. Also to consolidate the research and knowledge from across teams and data sources

TBD

Detail the type of secondary research you’ll conduct

Based on the user groups and scope defined for our project: students and tourists who come to Austin’s museums, which are mainly the Bullock Texas State History Museum and the Lyndon Baines Johnson Library and Museum, we decided to use the secondary methods below:

Internal Data:

• Current technologies and tools our targeted museums utilize to help visitors
• Reports about the user data and usage data of museum tools from our targeted museums

External Data:

• Other existing technologies and tools utilized by other museums.
• Articles or academic reports about the trending or advanced technologies/tools for museums
• Social science research on demographics, exhibit preferences, and usage of museum tools
• Social media posts related to museum experiences

Research Plan was originally published in Advanced Design for Artificial Intelligence on Medium, where people are continuing the conversation by highlighting and responding to this story.

I imagine myself as an artificial intelligence developer, working on a design team to push the limits of reality. At present, I am working with the School of AI, a nascent international non-profit that seeks to address the UN’s Sustainable Development goals through the utilization of AI applications.

I anticipate developing applications that reduce transportation costs through autonomous driving / flight. These autonomous vehicles could be used to rescue refugees, deliver emergency goods, or transport people in rural areas to medical facilities. I have been following Waymo, Udacity, and Uber’s self-driving car projects closely. Udacity open-sourced their code, and offered a free introduction to their self-driving car class. This gave me extremely valuable insight into this emerging field.

In order to build reliable models, large datasets need to be acquired from relevant populations. I am worried that those who are skeptical about AI — or resistant to it’s job-eliminating effects, will attempt to withhold this data, and hinder development. I also worry that governments will attempt to limit AI technology, even as it relates to development. AI — unlike people — is not beholden to any particular nation.

My original undergraduate major was in Arabic, and then International Relations and Global Studies. I have begun to study computer science, because I realize the disruptive effects of new technologies. However, I believe that my international relations background will be invaluable as I move forward. International relations teaches you to look at history, politics, and society, and predict future events based on past trends. This mindset is highly transferable to machine learning. Further, I have deep insight as to the needs of society, and can apply my technical skills to relevant problems.

Proposition for an AI Experience was originally published in Advanced Design for Artificial Intelligence on Medium, where people are continuing the conversation by highlighting and responding to this story.

Approximately one month ago, I agree to serve as the Austin chapter organizer for the School of AI (my formal title is “dean of the School of AI,” but I find this title pretentious). This journey has been both nerve wrecking and exiting. It has forced me to dramatically increase my competence in the AI space, and to become more cognizant of the latest projects in the AI development community.

I believe that the marriage of blockchain and AI will provide the greatest benefits for society at large. My I have two AI projects in mind.

The first is to produce an e-commerce sight that uses blockchain in supply chain management. This will allow consensus consumers to trace the origins of their products. AI would do the marketing, reliving mankind of this field of work. Products would be delivered through self-driving cars and autonomous planes, speeding up delivery time, and reducing costs. My target audience would be the Millennials and GenX, as they are more socially and environmentally conscious. They will also live longer, and more more worth the investment of my time. They would enjoy the low costs and transparency of this new and disruptive model. This project would eliminate transportation jobs, but these jobs are tedious and unhealthy for human bodies. New jobs will be created, and I am not concerned with the elimination of existing jobs.

My other idea is to use NLP to process articles and create professional quality research papers. This could be used for international relations research, or capstone papers. My target would be academics, who would save an incredible amount of time by not writing papers.

Visionary Ideas for AI was originally published in Advanced Design for Artificial Intelligence on Medium, where people are continuing the conversation by highlighting and responding to this story.

In 2018, the AI revolution is quickly replacing the need for human labor — and, thereby, for human life. As human desires increase, and the amount of available resources decline, it becomes ever more in the interest of the international community to

A) to reduce the global birthrate

and

B) outsource labour to intelligent agents.

AI bots do not require food, rest, civil protections, or pricey formal education. Although it (as of yet) requires an abundance of data, computing power, and skilled labor to produce a high-functioning AI application, with time, we can expect AI models to become more accessible and more rapidly deployable.

AI bots offer developing nations a unique opportunity to uplift themselves, in ways that were previously unfathomable.

I content that the first two fronts that AI will begin to predominate are marketing and healthcare.

Marketing is an involved and expensive process. Creating adds, and exposing them to the public, costs hundreds or thousands of dollars (depending on the reach of the campaign). Human marketing agents research their target demographic, and the best ones are able to covert exposure into sales at profitable rates. However. it is far more advantageous for industries to use machine learning models to predict which audiences and conduct marketing campaigns.

Social media platforms charge businesses to run targeted adds, however, as a small business owner, it is more to my interest to pay $30 for a 7 day Instagram marketing campaign than to pay a social media marketing team to run a campaign 24/7. With social media machine learning models I can choose to limit my adds to customers predicted to

A) visit my website

B) buy my product

C) share my add.

Health care in America is prohibitively expensive, making it inaccessible for the majority of citizens. Doctors cannot be entirely faulted for the exuberant prices they charge: they are saddled with prohibitive college debt, and have spent half of their lives out of the workforce pursing their profession. However, this does not change the fact of the matter that many members of the American middle class avoid the doctor to unhealthy extremes.

IBM Health, and other Biotech research agencies, are in the process of developing AI applications that review patient records, and identify patient conditions on par with primary care physicians. AI models are already able to detect cancer better than human doctors. I foresee AI being used to provide healthcare where it is otherwise inaccessible, and to supplement human doctors in privileged regions.

Of course, it is impossible to truly predict what the world will be like in 100 years. How could someone in 1918 have predicted our world today? As the imaginative and the innovative push the boundaries of reality, only time will tell what the future holds.

Hopes, Fears, and Predictions for AI 100 Years From Now was originally published in Advanced Design for Artificial Intelligence on Medium, where people are continuing the conversation by highlighting and responding to this story.