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Artificial Intelligence

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A Q&A with celebrated tech leader and design pioneer, Robb Wilson

 

Article by Josh Tyson
Conversational AI Experiences Don’t Have to Suck
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11 min read
Conversational AI Experiences Don’t Have to Suck

With ML facing so many users, there is a case to approach the conception and design of ML-powered applications from a UX research perspective. Read more to find out.

Article by Celine Lenoble
How Can User Experience Research (UXR) Help Build Users Trust in AI Systems and Increase Engagement?
  • The article covers the conception and design of ML-powered applications from a UX research perspective.
  • The author unpacks the following ideas:
    • Machine Learning and Real Users
    • Machine Learning and The Theory of Machine
    • Mental Models and User Engagement with Machine Learning Apps
Share:How Can User Experience Research (UXR) Help Build Users Trust in AI Systems and Increase Engagement?
4 min read
How Can User Experience Research (UXR) Help Build Users Trust in AI Systems And Increase Engagement?

Designing a chatbot personality? Here are some tips that might help you do it.

Article by Anonymous
How to Design a Chatbot Personality
  • The author believes personality to be the number one factor for increasing user engagement. And though your chatbot may be simple and basic, the people interacting with it tend to assign it a personality.
  • Unlike websites and mobile apps, which are designed to deliver the same experience for everyone, chatbots interact with people on a one-to-one basis.
  • The author suggests the following steps for designing a chatbot personality:
    • Start with the chatbot’s role
    • Flesh out the job description
    • Select your chatbot’s gender
    • Select your chatbot’s age
    • Create a thumbnail biography
    • Give your chatbot a name
    • Visualize your chatbot
    • Bring it to life!
  • Following this same procedure for every chatbot gives you enough of a foundation to then have the chatbot “take” a personality assessment test and then it’s just a matter of applying the personality type to your chatbot through the use of dialogue and emojis.
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9 min read
How to Design a Chatbot Personality

An odyssey exploring two possible outcomes for civilization as conversational AI takes hold—one brimming with the bright possibilities of user-controlled data, the other, decidedly dystopian.

Article by Henry Comes-Pritchett
In the Garden of Hyperautomation
  • Henry Comes-Pritchett explores two possible futures of hyperautomation: a self-custodial utopia, and a data-driven dystopia.
  • Comes’-Pritchett takes readers on a journey inspired by a sneak peek at, Age of Invisible Machines, an upcoming book by celebrated tech leader and design pioneer, Robb Wilson.
  • A philosophical treatise starts an odyssey that spans the breadth of possible civilizations, meeting the average people that inhabit them and observing their trials and tribulations.
  • The reader is ultimately left to decide what state of affairs they would prefer, with a call to action inviting those willing to change the world to start doing the work now.
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25 min read
AI Tale of Two Topias
Article by Viraj Joshi
Speculating ‘Metaverse’ Interactions With Eliza – The Ghost in Every Machine
  • “Eliza — The Ghost in Every Machine” is a weekly cartoon about a machine consciousness trying to understand our world, as it finds itself in increasingly prominent places every day. Eliza has over 50 cartoons now.
  • Eliza shows us what interactions in the future might look like. Eliza is an effort in prototyping human-machine interactions through fiction.
  • This article explores possible future interactions with the ‘metaverse’.
  • The author believes that living a great chunk of our lives in an avatar-infested space is just escapism.
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3 min read
“Speculating ‘metaverse’ interactions with Eliza — The Ghost in Every Machine”

And, Is OneReach Under The Radar By Design?

Article by Cobus Greyling
Is OneReach AI The Tesla Of Conversational AI?
  • The author gives his perspective on OneReach.ai as the top scorer in the Gartner 2022 report.
  • The author believes OneReach.ai to be one of the most granular no-code environments that support an exceptional degree of fine tuning.
  • The author refers to the platform as an orchestration canvas, where multiple processes can be orchestrated for multi-dimensional customer service, and gives some details on how the platform works as a single front-door for customers.
  • Cobus Greyling explores two cautions from Gartner about the OneReach.ai platform.
  • He concludes that voice is a strength of OneReach.ai and the company has extreme focus on customer experience, and orchestrating experiences
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4 min read
Is OneReach AI The Tesla Of Conversational AI?

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