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Defining AI

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

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.

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
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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.

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
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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

If there’s one thing I learned over five years in an AI leadership role with a Big 4 Consulting Firm, it’s that the popular view of Conversational AI misses the point.

Share:The Problem with How Organizations are Thinking about Conversational AI – an Insider’s Guide
12 min read

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