Tag: AI

Conversing with AI: Interview with Chelsea Wang about Communications with Artificial Intelligence Systems (Part 3 of 3)

In the final part of our conversation, Chelsea Wang explains how her background in psychology has influenced her work in artificial intelligence. In particular, she describes how her social science background helped her develop and deploy her own version of the Mutual Theory of Mind as a psychologist within the field of artificial intelligence. When socializing, humans employ a recursive feedback loop of conceptualization of each other, and she explores the application of similar concepts to conversational AI systems.

She concludes by discussing her journey as a PhD student: what led her to seek her dissertation and her plans afterwards to use what she is learning now to conduct innovative and impactful work in the business world.

Click here to learn more about the Interview Series.

More about Chelsea:

Qiaosi Wang (Chelsea) is a fifth-year PhD candidate in Human-Centered Computing at Georgia Institute of Technology. Chelsea is a human-centered AI researcher and her PhD dissertation work focuses on building the Mutual Theory of Mind framework, inspired by the basic human capability to surmise what is happening in others’ minds (also known as “Theory of Mind”), to enhance mutual understanding between humans and AIs during human-AI communication. Her work specifically focuses on the human-AI communication process during AI-mediated social interaction in online learning, where AI agents can connect socially isolated online learners by providing personalized social recommendations to online learners based on information extracted from students’ posts on the online class discussion forums.

Chelsea received her Bachelor of Science degrees in Psychology and Informatics from the University of Washington, Seattle. In her free time, Chelsea loves hiking, playing with her cat, Gouda, and spending time at bouldering gyms. 

To learn more about Chelsea and the sources we referenced in our conversation:

Conversing with AI: Interview with Chelsea Wang about Communications with Artificial Intelligence Systems (Part 2 of 3)

Chelsea Wang has spent many years trying to improve the cognitive process of artificial intelligence systems to better interact with humans. In this second part of our conversation, she explains her theories about metacognition, intelligence, and potential anthropomorphization of AI “thought” processes. Through this, she explicates her vision and approach to the potential social life of AI.

Click here to learn more about the Interview Series.

More about Chelsea:

Qiaosi Wang (Chelsea) is a fifth-year PhD candidate in Human-Centered Computing at Georgia Institute of Technology. Chelsea is a human-centered AI researcher and her PhD dissertation work focuses on building the Mutual Theory of Mind framework, inspired by the basic human capability to surmise what is happening in others’ minds (also known as “Theory of Mind”), to enhance mutual understanding between humans and AIs during human-AI communication. Her work specifically focuses on the human-AI communication process during AI-mediated social interaction in online learning, where AI agents can connect socially isolated online learners by providing personalized social recommendations to online learners based on information extracted from students’ posts on the online class discussion forums.

Chelsea received her Bachelor of Science degrees in Psychology and Informatics from the University of Washington, Seattle. In her free time, Chelsea loves hiking, playing with her cat, Gouda, and spending time at bouldering gyms. 

To learn more about Chelsea and the sources we referenced in our conversation:

Conversing with AI: Interview with Chelsea Wang about Communications with Artificial Intelligence Systems (Part 1 of 3)

Chelsea Wang describes her work developing and refining the communication processes between artificial intelligence and humans, particularly the Mutual Theory of Mind framework she has helped build. As a doctoral student in Human-Computer Interaction, she also discusses her journey from human psychology to the social interactions of AI.

Click here to learn more about the Interview Series.

More about Chelsea:

Qiaosi Wang (Chelsea) is a fifth-year PhD candidate in Human-Centered Computing at Georgia Institute of Technology. Chelsea is a human-centered AI researcher and her PhD dissertation work focuses on building the Mutual Theory of Mind framework, inspired by the basic human capability to surmise what is happening in others’ minds (also known as “Theory of Mind”), to enhance mutual understanding between humans and AIs during human-AI communication. Her work specifically focuses on the human-AI communication process during AI-mediated social interaction in online learning, where AI agents can connect socially isolated online learners by providing personalized social recommendations to online learners based on information extracted from students’ posts on the online class discussion forums.

Chelsea received her Bachelor of Science degrees in Psychology and Informatics from the University of Washington, Seattle. In her free time, Chelsea loves hiking, playing with her cat, Gouda, and spending time at bouldering gyms. 

To learn more about Chelsea and the sources we referenced in our conversation:

Tech Anthropologist Working and Product Manager: Interview with Matt Artz (Part 1 of 3)

As part of my Season 2, I interviewed Matt Artz, a design anthropologist who has been recently working as a product manager in the tech space. In Part 1, he discussed his experiences making innovative software products as an anthropologist and product manager.

Matt Artz is a business and design anthropologist, consultant, author, speaker, and creator. He writes, speaks, and consults in user experience, product management, and business strategy. He creates products, podcasts, music, and visual art.

For more context on my interview series in general, click here.

Resources we mentioned or other additional resources:

  • My website – https://www.mattartz.me/
  • LinkedIn – https://www.linkedin.com/in/matt-artz-anthropology/
  • Anthropology in Business podcast – https://www.mattartz.me/podcasts/anthropology-in-business-with-matt-artz/
  • Anthro to UX podcast – http://anthropologytoux.com/
  • Venn Diagram – https://www.ideou.com/pages/design-thinking
  • Book – https://www.ideo.com/post/design-kit

Tech Anthropologist Working and Product Manager: Interview with Matt Artz (Part 2 of 3)

This is the second part of three in our conversation. In it, he described his work developing data science-based recommendation systems using the concepts of design anthropology, participatory research, and design thinking, and then how he uses his skills as an anthropologist to visualize and communicate results and then plan what to do going forward with stakeholders.

Matt Artz is a business and design anthropologist, consultant, author, speaker, and creator. He writes, speaks, and consults in user experience, product management, and business strategy. He creates products, podcasts, music, and visual art.

Please also see Part 1 of the interview.

For more context on my interview series in general, click here.

Resources we mentioned or other additional resources:

  • My website – https://www.mattartz.me/
  • LinkedIn – https://www.linkedin.com/in/matt-artz-anthropology/
  • Anthropology in Business podcast – https://www.mattartz.me/podcasts/anthropology-in-business-with-matt-artz/
  • Anthro to UX podcast – http://anthropologytoux.com/
  • Venn Diagram – https://www.ideou.com/pages/design-thinking
  • Book – https://www.ideo.com/post/design-kit

Tech Anthropologist Working and Product Manager: Interview with Matt Artz (Part 3 of 3)

This is the third and final part of three in our conversation. In Part 3, he discussed why he decided to study anthropology for his business work and how that helped give him the skills for the work he does today.

Matt Artz is a business and design anthropologist, consultant, author, speaker, and creator. He writes, speaks, and consults in user experience, product management, and business strategy. He creates products, podcasts, music, and visual art.

Previous Parts:

  1. Part 1
  2. Part 2

For more context on my interview series in general, click here.

Resources we mentioned or other additional resources:

  • My website – https://www.mattartz.me/
  • LinkedIn – https://www.linkedin.com/in/matt-artz-anthropology/
  • Anthropology in Business podcast – https://www.mattartz.me/podcasts/anthropology-in-business-with-matt-artz/
  • Anthro to UX podcast – http://anthropologytoux.com/
  • Venn Diagram – https://www.ideou.com/pages/design-thinking
  • Book – https://www.ideo.com/post/design-kit

The Promises and Failures of Current Artificial Intelligence Technology: An Interview with Gemma Clavell at Eticas (Part 1 of 3)

I spoke with Gemma Galdon-Clavell, founder of Eticas Foundation and Eticas Consulting about the social implications of artificial intelligence technologies. In this first part, we discussed the policy strategies for ensuring that our data and artificial intelligence systems built on our data are good quality, safe, and accountable.

Here are Part 2 and Part 3 of the interview.

Dr. Gemma Galdon-Clavell is a leading voice on technology ethics and algorithmic accountability. She is the founder and CEO of Eticas, where her multidisciplinary background in the social, ethical, and legal impact of data-intensive technology allows her and her team to design and implement practical solutions to data protection, ethics, explainability, and bias challenges in AI. She has conceived and architected the Algorithmic Audit Framework which now serves as the foundation for Eticas’s flagship product, the Algorithmic Audit.

To learn more about Gemma’s and Eticas’s work:

For more context on my interview series in general, click here.

The Promises and Failures of Current Artificial Intelligence Technology: An Interview with Gemma Clavell at Eticas (Part 2 of 3)

Here is the second part of three in my conversation with Gemma Clavell. We compared various corporate models – good and bad – for artificial intelligence and how to foster responsible corporate practices in this field.

Dr. Gemma Galdon-Clavell is a leading voice on technology ethics and algorithmic accountability. She is the founder and CEO of Eticas, where her multidisciplinary background in the social, ethical, and legal impact of data-intensive technology allows her and her team to design and implement practical solutions to data protection, ethics, explainability, and bias challenges in AI. She has conceived and architected the Algorithmic Audit Framework which now serves as the foundation for Eticas’s flagship product, the Algorithmic Audit.

Here is Part 1 and Part 3 of our interview.

To learn more about Gemma’s and Eticas’s work:

For more context on my interview series in general, click here.

The Promises and Failures of Current Artificial Intelligence Technology: An Interview with Gemma Clavell at Eticas (Part 3 of 3)

This is the third and final part of three in our conversation. In Part 3, she described the skills and types of people necessary to build and assess artificial intelligence teams.

Dr. Gemma Galdon-Clavell is a leading voice on technology ethics and algorithmic accountability. She is the founder and CEO of Eticas, where her multidisciplinary background in the social, ethical, and legal impact of data-intensive technology allows her and her team to design and implement practical solutions to data protection, ethics, explainability, and bias challenges in AI. She has conceived and architected the Algorithmic Audit Framework which now serves as the foundation for Eticas’s flagship product, the Algorithmic Audit.

Here is Part 1 and Part 2 of our interview.

To learn more about Gemma’s and Eticas’s work:

For more context on my interview series in general, click here.

Digital Anthropology and Artificial Intelligence: Interview with Scarleth Herrera (Interview #8 in the Interview Series)

For Part 8 in my Interview Series, I interviewed Scarleth Herrera, a digital anthropologist and founder of Orez Anthropological Research. In it, we discuss her experiences as starting her own digital anthropology research company, transitioning into artificial intelligence-related work, and experiences conducting anthropological research outside of academia.

Scarleth lives in South Florida. Her Orez Anthropological Research is a non-profit dedicated to the exploration and advancing the research of digital anthropology. She is also a Research Scholar at the Ronin Institute in New Jersey. Her current research focus is on the implications artificial intelligence may have on society in general but particularly low-income communities, but she is also passionate about issues facing immigrant communities in the United States.  

Resources about Scarleth and Her Work:

Email: scarleth@orezanthroresearch.org
Twitter: @orezantresearch
Website:  www.orezanthroresearch.org
Ronin Institute: ronininstitute.org

Resources about Digital Anthropology and Other Resources Referenced in Our Conversation:

London School of Economics Ethnography Collective Reading List: https://zoeglatt.com/wp-content/uploads/2021/10/LSE-Digital-Ethnography-Collective-Reading-List-Oct-2021.pdf
Digital Ethnography Initiative: https://digitalethnography.at/blog/
The Digital Ethnographers Directory: https://docs.google.com/spreadsheets/d/1x8UOb1AxZS5FYRkXn2QLPrje-6vA4U4WC6SsmJXNHys/edit#gid=0
“The Short Anthropological Guide to the Study of Ethical AI” by Alexandrine Royer: https://arxiv.org/abs/2010.03362
“The Great Hack” (Netflix Documentary Mentioned)

Recommended Books in Digital Anthropology:

“Digital anthropology” by Daniel Miller et al. (recommend both the first and second editions)
“Doing Anthropological Research” by Natalie Konopinski
“Studying Those Who Study Us” by Diana E. Forsythe
“Digital Ethnography” by Sarah Pink