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New and Emerging Technologies

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

Article by Justin Swansburg
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

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
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

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

Article by Robb Wilson
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

Generative AI is making headlines, in the literal sense.

Article by Julia Anderson
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

What will the AI future look like – bright and easily manageable or dark and full of risks? Discover the various perspectives of the European Chatbot & Conversational AI summit speakers.

Article by Anna Gregorczyk
Does Conversational AI Do Magic?
  • The author shares insights on the risks, and opportunities of AI technologies as well as success stories and lessons learned from the second edition of the European Chatbot & Conversational AI summit.
  • The golden thread leading the summary is the future of AI implementation shown through the prism of various experts in the field.
  • The speakers talk about different industries that will be hugely influenced by AI technologies – medicine, business, insurance, personal assistance services, and more.
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4 min read

UX designer Asbjørn Mejlvang shows how to use Dall-E, an AI system that generates realistic visuals from a description given, to reach your design goals.

Article by Asbjørn Mejlvang
AI as an ideation tool: Dall-E outdoor baby carriage
  • The author gives a brief example of how to use Dall-E, an AI system that can produce art and realistic visuals from a description given in plain language, as a tool in the brainstorming process.
  • According to the author, the process of AI ideation is as simple as that:
    • Write a sentence.
    • Go through generated visuals.
    • Choose a direction to get the most accurate realization of your idea.
    • Receive generated variations from the selected output.
  • Traditional ideation process versus AI ideation process – the article covers how to combine them to get the best result in the most efficient way.
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2 min read
AI as an ideation tool

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