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Defining AI

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The Hidden Risks of Leveraging OpenAI’s GPT in Your Machine Learning Pipelines

  • Artificial Intelligence, Defining AI, New and Emerging Technologies, Privacy and Data Security, Research Methods and Techniques, Research Tools and Software

Discover four major risks that everyone should be aware of when incorporating generative AI into their ML modeling.

Article by Justin Swansburg
IDEAS IN BRIEF
The Hidden Risks of Leveraging OpenAI’s GPT in Your Machine Learning Pipelines
  • The article covers four major risks that everyone should be aware of when incorporating generative AI into their ML modeling:
    • Randomness
    • Target leakage
    • Hallucination
    • Topic Drift
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6 min read

Shaping Future Interactions: AI, Ethics, and Robo-Utopia

  • Artificial Intelligence, Conversational Design, Defining AI, New and Emerging Technologies, Technology, UX Magazine, UX World Changing Ideas

There is no more significant time to be a designer than the present and no greater reward than creating something new and contributing to the betterment of others, but this also comes with a huge responsibility. As new and emerging technologies evolve at an unprecedented pace, we must ask ourselves: if this pace continues to accelerate, what challenges will we face?

Article by Nour Diab Yunes
IDEAS IN BRIEF
Shaping Future Interactions: AI, Ethics, and Robo-Utopia
  • The article proves that collaboration across fields of design, science, engineering, and technology is necessary to create a progressive future.
  • Bias in AI algorithms reflects societal biases and intersectional-centered approaches are necessary to prevent unfair consequences.
  • Advances in technology have allowed us to enhance our physical and cognitive skills, and we are entering a ‘post-human condition’ where our very identity as human beings is being redefined.
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9 min read

Merging Search and GPT3

  • Artificial Intelligence, Defining AI, Google

Breaking down the strengths and limitations of search engines and GPT-3 language models.

Article by Aydin Ozcekic
IDEAS IN BRIEF
Merging Search and GPT3
  • The author analyzes advancements in technology that have integrated search capabilities into chatbots for a more efficient user experience.
  • Comparing search and GPT3, it’s crucial to choose the technology that best fits the specific needs and goals of the user:
    • GPT-3 language model is content-centered, ideal for text-based information manipulation;
    • Search engines are best for point-to-point information retrieval.
  • The combination of chatbots and search engines can potentially cannibalize each other, leading to a double-edged sword scenario.
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5 min read

3 Ways ChatGPT is a Lot Like Galaxy Quest

  • Artificial Intelligence, Defining AI, New and Emerging Technologies, Personas, UX Magazine

Discover the potential and pitfalls of generative AI against a surprising backdrop: Galaxy Quest.

Article by Robb Wilson
IDEAS IN BRIEF
3 Ways ChatGPT is a Lot Like Galaxy Quest
  • In the article, the author draws a parallel between ChatGPT and elements from the iconic film Galaxy Quest, finding remarkable similarities.
    • Just like the aliens in Galaxy Quest, GPT has learned from a massive knowledge base, but it doesn’t really know anything.
    • GPT has been exposed to some of the same biases that the film skewers. It will require a lot of dedicated effort by designers and users to strip the bias out of LLMs.
    • In the film, aliens need humans’ help. Despite their expertise in creating technical marvels, they lack the creative abilities needed to use them. The same holds true for AI: it needs humans to guide it and tell it what to do.
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6 min read

5 Reasons to Embrace the Generative AI Hype

  • Artificial Intelligence, Defining AI, New and Emerging Technologies, UX Magazine

Generative AI is making headlines, in the literal sense.

Article by Julia Anderson
IDEAS IN BRIEF
5 Reasons to Embrace the Generative AI Hype
  • While some fear generative AI and see it as competition to human effort, it can be used as a collaboration tool.
  • The author describes five ways to adopt generative AI to benefit from it:
    • Use it as a tool for rapid ideation and, therefore, inspiration for creating.
    • Facilitate knowledge management that allows humans to test limitless possibilities AI generates.
    • Personalise experience for customers for building relationships with them.
    • Unload from routine tasks – making time for more sophisticated tasks.
    • Practice collective intelligence – generative Ai is being trained on millions of interactions with people making it a powerful “copilot” in various activities.
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5 min read

Can Human-AI Collaboration Enhance Empathy?

  • Contextual User Studies, Defining AI, Emotion, Empathy

Can artificial intelligence help people be more supportive of each other in online conversations?

Article by Marlynn Wei
IDEAS IN BRIEF
Can Human-AI Collaboration Enhance Empathy?
  • The author analyzes the recent study on the opportunity for open-ended, social, creative empathic discussions to benefit from feedback-driven, AI-in-the-loop writing systems.
  • Due to AI systems’ difficulty in comprehending complex human emotions and the open-ended nature of these jobs, such human-AI collaboration poses difficulties for more difficult, creative tasks, like carrying out empathetic discussions.
  • The author names a number of design opportunities and challenges when it comes to developing AI systems that support empathy.
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5 min read
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