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Artificial Intelligence

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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.

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
Share:AI is getting better and better — at being biased.
7 min read
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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.
Share:Design Principles for a New AI World
8 min read

An expert’s view on the massive strategic opportunities and potential challenges of leveraging conversational AI solutions

Article by Jordan Ratner
The Disruption of Customer Experience: How Conversational AI is upping UX and CX standards
  • By transforming the way humans interact with technologies and making them more accessible to the public, conversational AI is raising the bar for customer experience.
  • One of the most tangible impacts of conversational AI has been on customer support and sales conversion. Thanks to the automation of conversations, the load on human staff is reduced, which leads to greater customer and employee experience.
  • As technological development advances, more opportunities to make good use of conversational AI will emerge. Nevertheless, it’s also necessary to not underestimate potential challenges related to legacy systems, data availability, shortage of conversational AI specialists.
Share:The Disruption of Customer Experience: How Conversational AI is upping UX and CX standards
13 min read

AI can optimize pivotal moments of interaction with customers to create market-differentiating experiences.

Article by Jason Cottrell
At Your Service: How AI Will Reshape Customer Service
  • With the growing importance of post-transaction support and competition, AI-powered solutions have become the secret weapons that allow to elevate customer service and increase retention rates.
  • Customers expect enhanced support throughout their purchase journey.
  • AI tools allow increasing consumer comfort and satisfaction by speeding up response mechanisms, collecting relevant data, and supporting product search and discovery.
Share:At Your Service: How AI Will Reshape Customer Service
5 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.

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

As we careen into the era of conversational AI and hyperautomation, closed systems create bad experiences that stifle innovation and opportunity

Article by Josh Tyson
Share:Open vs Closed: a Critical Question for Designing and Building Experiences
8 min read

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