Windows 10: Learn - Here Is a Great Set of FAQs About Copilot & AI

Drew1903 · Jan 21, 2025

Explore These CategorieswithThe FAQsBelow >> Get the most out of Copilot >> Tell me about Responsible AI >> Learn more about chat history >> Personalize your Copilot experience >> Review data use and control options Frequently Asked QuestionsCheers,Drew

:)

LChalifoux · Jan 21, 2025

How do I disable Copilot and all Other AI functionality in Windows 11 HOME edition

I want to fully disable (or preferably remove) Copilot and all other AI functionality in Windows 11 Home Edition. This question may belong under another topic; I just guessed at Settings.

See the bottom of this post for system information. Below are specific questions related to the details of disabling Copilot and AI functionality. I have not been able to find any of this information on any Microsoft resources; perhaps I missed something?.

Disabling Copilot in Windows 11 Home Edition: Please note that I am running Windows 11 Home edition - not Pro, Enterprise, etc., where I could solve the problem with group policies or other administrative options. The Windows Update setting "Get the latest updates" is turned on, so I am running Copilot Preview.

Copilot Taskbar Button: I have hidden Copilot on the taskbar, but that is obviously not the same as disabling Copilot or other AI functionality.

Disabling Copilot via Registry: There are instructions on various websites for disabling Copilot by editing the registry; I would appreciate details about how to do that, as long as the necessary edits are reasonably safe and reliable.

Disabling all AI functionality: How centralized is AI functionality in Windows 11? Does disabling Copilot disable AI functionality across all Windows 11 built-in features, as well as Microsoft desktop apps? Or has AI metastasized across the entire Windows ecosystem, requiring a constant game of whack-a-mole to disable everywhere?

Thanks in advance for any help.

- Laura

Windows System Information:

Edition Windows 11 Home

Version 22H2

OS build OS Build 22621.2361 Preview (KB5030310)

Brink · Jan 21, 2025

Securing the future of AI and machine learning at Microsoft

Artificial intelligence (AI) and machine learning are making a big impact on how people work, socialize, and live their lives. As consumption of products and services built around AI and machine learning increases, specialized actions must be undertaken to safeguard not only your customers and their data, but also to protect your AI and algorithms from abuse, trolling, and extraction.

We are pleased to announce the release of a research paper, Securing the Future of Artificial Intelligence and Machine Learning at Microsoft, focused on net-new security engineering challenges in the AI and machine learning space, with a strong focus on protecting algorithms, data, and services. This content was developed in partnership with Microsoft’s AI and Research group. It’s referenced in The Future Computed: Artificial Intelligence and its role in society by Brad Smith and Harry Shum, as well as cited in the Responsible bots: 10 guidelines for developers of conversational AI.

This document focuses entirely on security engineering issues unique to the AI and machine learning space, but due to the expansive nature of the InfoSec domain, it’s understood that issues and findings discussed here will overlap to a degree with the domains of privacy and ethics. As this document highlights challenges of strategic importance to the tech industry, the target audience for this document is security engineering leadership industry-wide.

Our early findings suggest that:

1. Secure development and operations foundations must incorporate the concepts of Resilience and Discretion when protecting AI and the data under its control.

AI-specific pivots are required in many traditional security domains such as Authentication, Authorization, Input Validation, and Denial of Service mitigation.

Without investments in these areas, AI/machine learning services will continue to fight an uphill battle against adversaries of all skill levels.

2. Machine learning models are largely unable to discern between malicious input and benign anomalous data. A significant source of training data is derived from un-curated, unmoderated public datasets that may be open to third-party contributions.

Attackers don’t need to compromise datasets when they are free to contribute to them. Such dataset poisoning attacks can go unnoticed while model performance inexplicably degrades.

Over time, low-confidence malicious data becomes high-confidence trusted data, provided that the data structure/formatting remains correct and the quantity of malicious data points is sufficiently high.

3. Given the great number of layers of hidden classifiers/neurons that can be leveraged in a deep learning model, too much trust is placed on the output of AI/machine learning decision-making processes and algorithms without a critical understanding of how these decisions were reached.

AI/machine learning is increasingly used in support of high-value decision-making processes in medicine and other industries where the wrong decision may result in serious injury or death.

AI must have built-in forensic capabilities. This enables enterprises to provide customers with transparency and accountability of their AI, ensuring its actions are not only verifiably correct but also legally defensible.

When combined with data provenance/lineage tools, these capabilities can also function as an early form of “AI intrusion detection,” allowing engineers to determine the exact point in time that a decision was made by a classifier, what data influenced it, and whether or not that data was trustworthy.

Our goal is to bring awareness and energy to the issues highlighted in this paper while driving new research investigations and product security investments across Microsoft. Read the Securing the Future of Artificial Intelligence and Machine Learning at Microsoft paper to learn more.
Click to expand...

Source: Securing the future of AI and machine learning at Microsoft - Microsoft Secure

Vigneshwaran V · Jan 21, 2025

How to disable copilot in Windows 11 23H2?

There is a solution to keep Copilot out of your eyesight, it does not permanently remove or uninstall Copilot from your Windows 11 environment. Microsoft is persistent and Copilot is inevitable, not to mention the latest computers are equipped with a dedicated Copilot Key in the keyboard. Hence, it is up to us to get used to this feature, and also the field of AI is exponentially increasing, so it is better to get used to it. However, the simple solution is to disable copilot via Taskbar as you mentioned that Policy Editor didn't help. The following are the steps.

Go to Windows Settings.

Click on Personalization.

Under Taskbar, you can find Copilot (preview)

Toggle the switch to Off.

In this way, Copilot can be kept out of sight.

I hope the same works for you.

Windows 10: Learn - Here Is a Great Set of FAQs About Copilot & AI

Learn - Here Is a Great Set of FAQs About Copilot & AI

Learn - Here Is a Great Set of FAQs About Copilot & AI

Learn - Here Is a Great Set of FAQs About Copilot & AI

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