Category Archives: Human-Machine Interaction

Human-Machine Conversations: Dynamic Planning and Composition

Posted on May 17, 2023 by decisionmanagementcommunity

This article summarizes recent advances in dynamic planning for human-to-assistant conversations. Many types of conversations, from gathering information to offering recommendations, require a flexible approach and the ability to modify the original plan for the conversation based on its flow. … Continue reading →

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A new interface?

Posted on February 14, 2023 by decisionmanagementcommunity

Prof. Toby Walsh shared “Bard, Bing and Baidu: how big tech’s AI race will transform search – and all of computing”: “When Microsoft launched Windows, it was the start of a revolution. Rather than typing cryptic instructions, we could just … Continue reading →

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Meet Bard, Google’s Answer to ChatGPT

Posted on February 7, 2023 by decisionmanagementcommunity

WIRED just published comments on today’s announcement that Google will roll out a chatbot named Bard “in the coming weeks.” The launch appears to be a response to ChatGPT, the sensationally popular artificial intelligence chatbot developed by startup OpenAI with funding from … Continue reading →

Posted in Artificial Intelligence, Human-Machine Interaction, Innovation, Products | Leave a comment

Google Chain of Thought

Posted on January 24, 2023 by decisionmanagementcommunity

On Jan 18, 2023 Jeff Dean, Senior Fellow and SVP of Google Research, published “Google Research, 2022 & Beyond: Language, Vision and Generative Models” that could be treated as a response to ChatGPT boom without mentioning its explicitly. In particular, it … Continue reading →

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Could ChatGPT Generate Decision Models?

Posted on January 3, 2023 by decisionmanagementcommunity

If ChatGPT claims to generate working code from a problem description in English, then it is only natural to ask it to generate the proper decision model. Jacob Feldman did it by asking ChatGPT to generate a decision model for a … Continue reading →

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DecisionCAMP Monthly Session on Jan 11, 2023

Posted on January 2, 2023 by decisionmanagementcommunity

The first 2023 DecisionCAMP Monthly Session “Why is symbolic AI being overshadowed by statistical AI?” presented by Bas van der Raadt will be held on Jan 11 at 12:00 pm EST (New York Time). Register for free here.

Posted in Artificial Intelligence, Decision Intelligence, Decision Modeling, DecisionCAMP, Human-Machine Interaction, Knowledge Representation, Natural Language Processing, Reasoning, Semantic Web | Leave a comment

AI-powered Coding Tools

Posted on December 30, 2022 by decisionmanagementcommunity

Andrew NG summarized the state of AI-powered code generators including eBay’s low-code, DeepMind introduced AlphaCode, GitHub’s Copilot that autocompletes your code in real time, and OpenAI’s GPT-3. “The widely available versions of this technology aren’t yet able to write complex programs. Often … Continue reading →

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Cocktail Conversations

Posted on December 29, 2022 by decisionmanagementcommunity

Neil Raden published an interesting post at LinkedIn: “Maybe I need to rethink my position on #chatGPT. Does it display humanlike intelligence? Maybe its vapid, content-free prose really is human intelligence. I described “Cocktail Conversation” in InformationWeek in 2008 as chatter … Continue reading →

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Demystifying ChatGPT

Posted on December 20, 2022 by decisionmanagementcommunity

2 Millions people have already signed up to use ChatGPT that has been generating a lot of buzz in the AI community. What can it create, and where are the humans in the loop? How does this generalize? Cassie Kozyrkov, Chief … Continue reading →

Posted in Artificial Intelligence, Human-Machine Interaction, Machine Learning | 1 Comment

Can’t We Do Better Than This?

Posted on December 17, 2022 by decisionmanagementcommunity

BRCommunity.com just published a story written by Bas van der Raadt: “Why did I almost end my 15+ year career in Enterprise architecture? Because I felt like large organizations are just doomed — destined to stay stuck in the complexities they … Continue reading →

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