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Tag: AI Training

  • Stop Artificial Intelligence (AI) from Increasing Unseen Bias in Our Organization

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    In a recent event, a business owner asked an important question – how can we stop AI from causing more significant problems in our organization? They gave an example of a team member often left out of emails due to personal conflicts or bias. How can we ensure their expertise is recognized when Microsoft 365’s CoPilot uses Microsoft Graph to analyze our emails for answers? Will it still see that person as an expert? If CoPilot uses Microsoft Graph to look at our emails and SharePoint files, is it just “crowd-sourcing” answers? If so, will it just highlight existing issues instead of unlocking our organization’s knowledge?

    We also need to consider different communication styles. For instance, how is their expertise captured and recognized if a team member is introverted or prefers face-to-face interactions over emails?

    Here are some strategies we came up with to tackle these challenges:

    Inclusive Communication Practices:

    Include all team members in relevant communications. Create email groups or Teams channels for every project. This way, everyone is informed and can share their ideas.

    AI Ethics Guidelines:

    Set rules for employees using AI tools like CoPilot and AI Builder. This way, AI won’t accidentally exclude certain team members. The aim is for AI tools to support human decision-making, not replace it.

    Regular Audits:

    Regularly check AI usage to find and fix any issues of bias or exclusion. Review the suggestions from CoPilot and the models built with AI Builder regularly to ensure they align with the organization’s values and ethics.

    Feedback Mechanisms:

    Set up ways for team members to report issues related to AI usage. This could be a dedicated Teams channel where employees can share their experiences and concerns.

    AI Training:

    Train employees on the ethical use of AI. Teach them how to use AI tools like CoPilot and AI Builder in a way that promotes inclusivity and fairness. This training could cover how to interpret and apply the suggestions from CoPilot and how to build and use models with AI Builder.

    By using these practices, businesses can promote a more inclusive and ethical use of AI.

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  • Demystifying AI: A Small Business Leader’s Glossary for 2024

    Demystifying AI: A Small Business Leader’s Glossary for 2024

    In anticipation of 2024, small business leaders must decode the intricacies of artificial intelligence (AI). Mastery of these pivotal terms will empower you to capitalize on AI’s transformative capabilities. Here’s an accessible glossary to navigate the AI landscape:

    NLP (Natural Language Processing): Picture your systems conversing with customers as effortlessly as a human. NLP facilitates this by deciphering and generating human language, transforming customer support, and enriching user experiences.

    LLM (Large Language Models): These advanced models are the architects of text that mirrors human writing. Educated on comprehensive datasets, they comprehend context and nuances, enhancing customer dialogue and fostering inventive content creation.

    Reasoning Models: View these as your virtual strategists. They dissect data to uncover patterns and offer insights, fortifying strategic initiatives and boosting operational adaptability.

    Generative AI: The visionaries of AI, these algorithms invent original content, from imagery to music to code, sparking innovation and addressing challenges in novel ways.

    GPT (Generative Pre-trained Transformer): A luminary in generative AI, GPT specializes in generating coherent, context-aware text. It’s instrumental for automating the content generation and refining customer interactions.

    AI Model: Essentially, an AI model is a mechanism that executes tasks such as speech recognition, language translation, or object detection in images. It hones its skills by learning from data patterns.

    Training a Model: This stage is the AI model’s educational journey, where it learns from a plethora of labeled data to make intelligent predictions and decisions. It’s a perpetual quest for unmatched precision and expertise.

    Clarifying the distinction between ChatGPT and GPT is also crucial:

    GPT: Your AI all-rounder, skilled in deep learning to manage tasks from translation to summarization.

    ChatGPT: Designed for discourse, ChatGPT excels at generating responses that sustain conversational flow, ideal for elevating customer service and engaging with users.

    Spotlight on Microsoft AI: OpenAI and CoPilot

    OpenAI: Pursuing a dual mission of research and practical application, OpenAI strives to create AI that exceeds human performance in significant tasks while promoting societal progress. Microsoft incorporates OpenAI’s innovations into its Azure OpenAI services.

    Microsoft CoPilot: This AI aide enhances productivity by integrating LLMs with Microsoft Graph and Microsoft 365 Apps. It streamlines your interactions with applications, fostering a more profound comprehension and efficient content creation, thus redefining your work processes.

    Embark on Your AI Adventure with TechHouse

    Are you ready to revolutionize your business with AI? Seize the present and embrace artificial intelligence to stay at the forefront. Contact us to learn how our AI solutions can drive your business growth. Let’s collaborate to innovate and transform potential into reality.