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Defining AI

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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?

An ultimate guide to conversational UX (CUX). Conversational UX principles.

Article by Sudarshan Sahu
Conversational Design
  • The author defines “conversational UX as a user experience that combines chat, voice or any other natural language-based technology to mimic a human conversation.”
  • The author looks at the following conversational UX Principles:
    •  Affordances
    • Signifiers
    • Feedback
  • Conversational user interface & principles:
    • Cooperative Principle (discover hidden intentions)
    • Turn-Taking (give users a space to interact)
    • Context-aware (in context / out of context)
  • While designing virtual assistants, the author suggests taking two things into consideration:
    1. How to set user expectations and educate users about what their assistants can do
    2. How to help these users
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8 min read
Conversational Design

Artificial intelligence (AI) could soon surpass human intelligence. Having both advantages and disadvantages, it still creates powerful opportunities and produces more accurate customer-behavior models.

Article by Sonia P.
Time to reflect on my future in the age of AI
  • Since AI-driven processes can create powerful opportunities to improve producing more accurate customer-behavior models, many traditional businesses will soon transform their core processes and business models to take advantage of ML.
  • Sonia P., People-Centric Design Enthusiast, brigs up such questions related to the role of AI in the future:
    • What’s exciting about AI?
    • What’s worrying?
    • How will we work with machines?
  • In order to make machines that behave better for humans is for UX designers to take all factors into considerations, bridge the gap and merge the knowledge from all sides to define the best solution.
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6 min read
Time-to-reflect-my-future-in-the-age-of-AI.-article-image.png

Historically, the values of gender-caste-based minority have been systematically excluded from even being tallied, resulting in gender-biased or gender-invisible prior statistics.

Article by Paula Stenholm
AI is getting better and better — at being biased.
  • The values of gender-caste-based minority have been systematically excluded from even being tallied, resulting in gender-biased or gender-invisible prior statistics.
  • Data scientists have said that there are two main ways that AI perpetuates gender bias: one is caused by Algorithmic and design flaws and the other is the reinforcement of gender stereotypes through new digital products that project a technological gender.
  • Paula Stenholm, a user experience designer at Ellos Group, gives a lot of reasons why datasets are skewed:
    • Real world patterns of health inequality and discrimination
    • Discriminatory data
    • Application injustices
    • Biased AI design and deployment practices
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7 min read
AI-is-getting-better-and-better-—-at-being-biased.-article-image.png
Article by Ovetta Sampson
Design Principles for a New AI World
  • In the AI era, designers are taking on even larger responsibility.
  • It’s high time design stepped into the new era and a new framework that’s wider, more equitable, and pluralistic compared to what we’ve witnessed before.
  • In this article, Ovetta Sampson, Vice-President of Machine Learning Experience Design at Capital One, reworks the “10 Commandments of Good Design” to fit design going into an AI era.
    1. Good design solves hard problems.
    2. Good design promotes healthy relationships.
    3. Good design requires malleability.
    4. Good design makes companies understand and products that serve me.
    5. Good design acknowledges bias.
    6. Good design prevents dishonesty.
    7. Good design expects unintended consequences.
    8. Good design fosters equity .
    9. Good design considers its effect on a collective, connected eco-system.
    10. Good design brings purposefully order to chaos.
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8 min read

Empathetic interactions? Or volume and scale? AI, in the form of bots and empathetic digital people, can deliver both.

Article by Kath Balackham
Share:The Empathy Equation– Can Digital People deliver empathy at scale?
5 min read
Empathy Equation

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