BBN Times calls Rule-based Systems “Fake AI”

In the latest article it says: “Fake AI is designed to deceive the user into thinking that it is a real AI application. Fake AI applications are often simple rule-based systems that use predetermined responses to simulate AI. The goal of fake AI is to trick users into thinking that they are interacting with a real AI system, when in fact, they are not. It does not have the ability to generalize or make decisions based on new information, and it relies on pre-programmed rules or decision trees.” “Rule-Based Programming: Fake AI is created using a set of pre-defined rules and decision trees that specify how the system should behave in certain situations. These rules are created by humans and are not based on any learning or training process.” But don’t worry: it also calls Alan Turing “Alin”.

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Meet Bard, Google’s Answer to ChatGPT

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 Microsoft. Sundar Pichai, Google’s CEO, wrote in a blog post that Bard is already available to “trusted testers” and designed to put the “breadth of the world’s knowledge” behind a conversational interface.

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RFP Process is Waste of Time

Silvie Spreeuwenberg wrote: “As someone who has experience drafting RFP questions, being on an assessment team, and responding to RFPs, I can honestly say that this process is often a waste of time and can lead to disappointing results for both client and supplier. So, here I will summarise my experiences and highlight four points to consider when drawing up RFP processes within the software industryLink

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Google Chain of Thought

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 includes an interesting comparison dialogs created by the “Standard Prompting” and “Chain of Thought Prompting”: Link

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Business Rules and Ontology in an Event-Driven Architecture

Bas van der Raadt describes an event-driven business architecture that connects business activities (business rules) with business data (ontology) via business events (state changes of business data). model. He explains how everything comes together and how it helps business people to get true insights into their domain. Link

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Gartner’s Low-Code Application Platform Magic Quadrant

Paul Vincent: “Gartner’s Low-Code Application Platform Magic Quadrant and Critical Capabilities research covers platforms for building applications that range from enterprise business applications to smaller departmental applications. Many business process automation tools overlap with LCAP in terms of capabilities, and vendors are improving their business logic capabilities with metaphors like decision tables increasing in availability. In 2022 larger enterprise customers of LCAPs still used separate decision service / DMS platforms, business process platforms, and/or integration platforms alongside their LCAP.Link

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Six Levels Down

Sandy Kemsley wrote: “Michael Lewis who wrote the book Moneyball digs into why certain things in business work the way that they do… He looked at a U.S Healthcare billing company how they became successful by gaining a deep understanding in how to apply the right billing rule at the right time. And the way that they did this was to find the people six levels down from the top of the organization. In other words, the people who actually do the work and understand how and why things work. These are the people at the front lines of the business processes, even if they’re not customer facing, they understand which parts of the process and rules are necessary and which are not.” Link

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Could ChatGPT Generate Decision Models?

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 simple Vacation Days problem. The controversial results generated a huge interest among DM professionals. See more results from the conversation between ChatGPT and Simon Vandevelde. Link

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DecisionCAMP Monthly Session on Jan 11, 2023

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.

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

The End of Programming?

This is one the the first tweets of 2023 based on the Matt Welsh Jan-2023 article in CACM that states: Programming will be obsolete. I believe the conventional idea of “writing a program” is headed for extinction, and indeed, for all but very specialized applications, most software, as we know it, will be replaced by AI systems that are trained rather than programmed. Link

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