Ethics of Artificial Intelligence

Regulating Artificial Intelligence Systems: Regulatory Sandboxes

REGULATING ARTIFICIAL INTELLIGENCE SYSTEMS: REGULATORY SANDBOXES

The world has been seeking answers to the questions of how artificial intelligence (AI) technologies should be developed, used, and regulated for a long time. Initially, concerns that regulating AI could stifle innovation led to debates about whether regulation is necessary, when it should be applied, and whether early-stage regulation might hinder innovation. Today, the rapid advancements in the field of AI and the widespread use of productive AI have led to a consensus, at least among a significant majority, regarding the necessity of regulating AI, as they have brought forth new risks and harms. [...]

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What does AI Ethics say about the Potential of AI for Sustainable Development Goals?

WHAT DOES AI ETHICS SAY ABOUT THE POTENTIAL OF AI FOR SUSTAINABLE DEVELOPMENT GOALS?

The UN Secretary-General's report published in May 2023 shows that most of the Sustainable Development Goals (SDGs) are in danger. So, if we continue in the same way, it will be impossible to fulfill the SDGs by 2030. At this point, the question of whether artificial intelligence (AI), which AI Ethics emphasizes should be beneficial to humans, can be the solution comes to mind. However, it seems that AI has the potential both to advance and undermine the implementation of SDGs. So, our first question should be: Can AI genuinely contribute to achieving the SDGs, or does AI make it more difficult to attain SDGs that are already far from realization? [...]

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Generative Artificial Intelligence, Foundation Models and Large Language Models

GENERATIVE ARTIFICIAL INTELLIGENCE, FOUNDATION MODELS AND LARGE LANGUAGE MODELS

Generative Artificial Intelligence (GenAI) refers to AI models designed to generate synthetic content including text, images, audio, or video, that resembles content generated by humans [1]. Lately, numerous GenAI models have been developed and released into the market. GenAI models utilize extensive data analysis to predict and generate content by identifying patterns, relationships, and probabilistically replicating them, resulting in the production of synthetic content that can exhibit similarities to existing patterns or showcase novel elements based on the provided input (prompts) [1]. [...]

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NIST Artificial Intelligence Risk Management Framework: Understanding and Managing Artificial Intelligence Risk

NIST ARTIFICIAL INTELLIGENCE RISK MANAGEMENT FRAMEWORK: UNDERSTANDING AND MANAGING ARTIFICIAL INTELLIGENCE RISK

On January 26, 2023, the National Institute of Standards and Technology (NIST) released the first version of the Artificial Intelligence Risk Management Framework (AI RMF). NIST is a US government agency whose mission is “to promote US innovation and industrial competitiveness by advancing measurement science, standards, and technology”. In this context, one of the subjects it works on is artificial intelligence. [...]

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The White House

THE WHITE HOUSE'S AI BILL OF RIGHTS: THE PRINCIPLES AND EXPECTATIONS

The White House Office of Science and Technology Policy (OSTP) published a whitepaper named “The Blueprint for an AI Bill of Rights: Making Automated Systems Work for the American People” in October 2022, one year after the OSTP intended to develop “a bill of rights for an AI-powered world” [1]. The Blueprint consists of five principles and a technical companion, including the importance of principles, principle-related expectations and, how to translate the principles into practices. However, it is not a legally binding document, so the principles are just recommendations. [...]

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ICO Artificial Intelligence Audit

ICO ARTIFICIAL INTELLIGENCE AUDIT

As you will remember, we explained what is artificial intelligence audit and some different frameworks suggested for auditing AI in our article which is “Artificial Intelligence Audit”. In this article, we will focus on a guide developed for artificial intelligence audit, which is named as "A Guide to ICO Audit: Artificial Intelligence (AI) Audits". [...]

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Artificial Intelligence Audit

ARTIFICIAL INTELLIGENCE AUDIT

In our previous short articles, we discussed why we need trustworthy artificial intelligence and what the principles and values ​​​​are determined for trustworthy artificial intelligence around the world. In this short article, we will discuss the artificial intelligence audit we need to ensure the trustworthiness of artificial intelligence systems, the types of audit, and the different frameworks of these audits recommended by different groups. [...]

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Trustworthy Artificial Intelligence

TRUSTWORTHY ARTIFICIAL INTELLIGENCE

For the development, application and use of artificial intelligence systems, trustworthiness is needed. For this reason, various trustworthy artificial intelligence definitions have been made and various principles and values have been adopted for trustworthiness around the world. Now, I will look at some of these principles and values. [...]

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