Monitoring and Controlling AI: Ensuring the Safe and Responsible Use of Artificial Intelligence: 1A, #1

By WOLDEMARIAM

Monitoring and Controlling AI: Ensuring the Safe and Responsible Use of Artificial Intelligence

CONVERSATIONAL CHAT INFORMATIVE BOOK

The purpose of monitoring and controlling AI is to monitor and control AI systems to ensure that they are used safely, responsibly, and ethically. AI systems can have a wide range of impacts on society, both positive and negative, so it is important to have mechanisms in place to mitigate the risks associated with AI and to maximize the benefits of AI.

Monitoring and controlling AI can help to achieve: Reduce the risk of harm, Improve transparency and accountability, Promote fairness and equity, Protect privacy and security, Align AI with human values.

Organizations should implement a combination of monitoring and control measures to ensure that their AI systems are used safely and responsibly. By monitoring and controlling AI, organizations can help to build public trust in AI and to ensure that AI is used for good.

• Language: English
• Publisher: WOLDEMARIAM
• Release date: Nov 6, 2023
• ISBN: 9798223959601

Book preview

ABEBE- BARD AI WOLDEMARIAM

Monitoring and Controlling AI: Ensuring the Safe and Responsible Use of Artificial Intelligence

CONVERSATIONAL CHAT INFORMATIVE BOOK

The purpose of monitoring and controlling AI is to monitor and control AI systems to ensure that they are used safely, responsibly, and ethically. AI systems can have a wide range of impacts on society, both positive and negative, so it is important to have mechanisms in place to mitigate the risks associated with AI and to maximize the benefits of AI.

Monitoring and controlling AI can help to achieve: Reduce the risk of harm, Improve transparency and accountability, Promote fairness and equity, Protect privacy and security, Align AI with human values.

Organizations should implement a combination of monitoring and control measures to ensure that their AI systems are used safely and responsibly. By monitoring and controlling AI, organizations can help to build public trust in AI and to ensure that AI is used for good.

Copyright © AUGUST 2023 by Google BARD AI AND ABEBE GEBRE WOLDEMARIAM (ABE)

All rights reserved.

Google Bard AI is an experimental conversational AI chatbot developed by Google that learns from its encounters with humans to improve its performance and based initially on the LaMDA family of large language models (LLMs) and later the PaLM LLM.

Abebe Gebre Woldemariam is a human that made conversational chats with Bard as per his experiences of exposure to convert stalking/gang stalking.

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Original 1A – 1 NOVEMBER 2023

Addis Ababa, Ethiopia.

Revision – TBD

Dedicated to: My son, Merab Abebe that has also been targeted by Neurological Weapon

Bard may display inaccurate or offensive information that doesn’t represent Google’s views

Content:

Introduction to AI monitoring and control

AI governance

AI risk management

AI compliance

AI monitoring tools and techniques

AI auditing and reporting

Case studies, Essay, Literature, Researches Practices and Latest Applied experiences

Introduction to AI monitoring and control

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Introduction to AI monitoring and control: What is AI monitoring and control? Why is it important? What are the different types of AI monitoring and control?

What is AI monitoring and control?

AI monitoring and control is the process of overseeing the performance and behavior of AI systems. It involves identifying and mitigating risks, ensuring compliance, and ensuring that the AI system is performing as expected.

Why is AI monitoring and control important?

AI systems are becoming increasingly complex and powerful, and they are being used in a wide range of applications, from critical infrastructure to healthcare to finance. As a result, it is important to ensure that these systems are used safely and responsibly. AI monitoring and control can help to achieve this goal by:

Identifying and mitigating risks: AI systems can pose a number of risks, such as bias, discrimination, and security vulnerabilities. AI monitoring and control can help to identify these risks and develop strategies to mitigate them.

Ensuring compliance: AI systems must comply with all applicable laws and regulations. AI monitoring and control can help to ensure that AI systems are in compliance and that any potential compliance issues are identified and addressed promptly.

Ensuring performance: AI systems must perform as expected in order to deliver their intended benefits. AI monitoring and control can help to ensure that AI systems are performing as expected and that any performance issues are identified and addressed promptly.

What are the different types of AI monitoring and control?

There are a variety of different types of AI monitoring and control, including:

Real-time monitoring: Real-time monitoring involves tracking key metrics such as accuracy, precision, and recall to detect any anomalies or unexpected behavior in the AI system.

Alerting: If an AI system is detected to be performing below expectations or behaving unexpectedly, an alert can be triggered to notify human operators. This allows the operators to investigate the issue and take corrective action.

Human override: Human operators should be able to override the decisions of an AI system at any time. This can be done through a variety of mechanisms, such as a manual kill switch or a process for approving or rejecting AI system recommendations.

Auditing and reporting: AI systems should be regularly audited and reported on to ensure that they are meeting their intended goals and that they are not being used for malicious purposes. This can be done by internal teams or by independent third-party auditors.

The specific type of AI monitoring and control that is implemented will depend on the specific AI system and its application. For example, a high-risk AI system that is used in a critical infrastructure application may require more stringent monitoring and control measures than a lower-risk AI system that