Artificial Intelligence (AI/ML)

This curated page provides access to all AI-related videos, articles and education modules listed on the IEEE TechEthics resource pages. Visit often, as new resources are added regularly.

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This curated page provides access to all AI-related videos, articles and education modules listed on the IEEE TechEthics resource pages. Visit often, as new resources are added regularly.

Videos

Trustworthy AI: From Principles to Practice with Gilles Fayad, Edson Prestes, and Mark A. Vasquez
Video

Trustworthy AI: From Principles to Practice

As the use and impact of autonomous and intelligent systems become pervasive, we need to establish societal and policy guidelines for such systems to remain human-centric, serving humanity’s values and ethical principles. In collaboration with the IEEE Standards Association, this IEEE TechEthics session at the US Space and Rocket Center AI Symposium reviews the work being done to ensure every stakeholder involved in the procurement, design, development, and deployment of these systems is educated, trained, and empowered to prioritize ethical considerations so that these technologies are advanced for the benefit of humanity.
Marble head using a phone and text: ARTificial Intelligence, How AI Tools Are Impacting the Arts
Video

ARTificial Intelligence: How AI Tools Are Impacting the Arts

The arts are among the fields seeing both benefits and challenges from the use of generative AI tools, stirring discussion on what it means to be an artist. This IEEE TechEthics public form addresses the impacts AI is having on the artistic process.
ICRA 2022: The Neuroethics of LAWS from Neural Networks to Robotics and Back Again
Video

The Neuroethics of LAWS from Neural Networks to Robotics and Back Again

Many of the ethical issues in LAWS and robotics turn on topics commonly treated in the ethics of neurotechnology, such as our understanding of the brain and nervous system, prospects for the enhancement of its capacities, and the related ethical, legal and social issues (ELSI).

Articles/Publications

Article/Publication

It’s Surprisingly Easy to Jailbreak LLM-Driven Robots

AI chatbots such as ChatGPT and other applications powered by large language models (LLMs) have exploded in popularity, leading a number of companies to explore LLM-driven robots. However, a new study now reveals an automated way to hack into such machines with 100 percent success.
Article/Publication

Asimov’s Laws of Robotics Need an Update for AI

While human-AI collaboration can be constructive, AI deception undermines trust and leads to wasted time, emotional distress, and misuse of resources. In this IEEE Spectrum guest article, a 4th law of robotics is proposed that would require artificial agents to identify themselves to ensure our interactions with them are transparent and productive.
Article/Publication

Initiative Aims to Enable Ethical Coding LLMs

AI coding assistants are quickly becoming indispensable tools for developers. But the provenance of the code they’re trained on is often murky, leading to concerns around transparency and author rights. A new initiative hopes to change this by providing the world’s largest repository of ethically sourced code for training AI.

Education Modules

IEEE Learning Network and IEEE Computational Intelligence Society logos
Education Module

Evolving Landscape of Responsible AI

With the recent strides in Generative AI to create new content, ChatGPT has taken the world by storm. Yet there are daily reports of AI harm. Over 90 percent of businesses using AI say Trustworthy and explainable AI is critical to business. More than half of companies cite significant barriers to getting there including a lack of skills, inflexible governance tools, biased data, and more. Responsible AI is an evolving landscape that requires a comprehensive approach around people, processes, systems, data, and algorithms. This panel discussion explores this ever-changing and complex landscape from the perspective of principles, tools and frameworks, legislatures, and standards.
Company executive presenting new management strategy to team in conference room.
Education Module

AI Standards: Best Practices for Ethical Systems

Factors that relate to transparency in systems, the difference in outcomes that those factors can create, as well as practical techniques that can be applied to encourage a greater quality of transparency in consistent and rigorous ethical systems are explored in this course. Topics include factors that tend to drive or inhibit the quality of transparency in systems, small differences that may lead to major differences over time, and practical steps towards implementing more consistent and rigorous ethical systems.
Two developers collaborating with each other on separate computers
Education Module

AI Standards: Configuring Systems for Privacy

The goals of this course are to familiarize the software engineer with key elements and concepts that can enhance privacy capabilities and safeguards in the software engineering and development process. Practical techniques are used to help the learner understand how to harness the assessment process to enhance privacy requirements and privacy-related controls. By the end of this course, you will understand how privacy assessments integrate into software engineering and software development models with an emphasis on fundamentals.

IEEE Ethics Frameworks

IEEE Ethics Frameworks

IEEE 7000™ series of standards for ethically aligned autonomous and intelligent systems (part of the IEEE portfolio of AIS technology and impact standards and standards projects)

This series of standards for ethically aligned autonomous and intelligent systems is part of the IEEE portfolio of AIS technology and impact standards and standards projects.
IEEE Ethics Frameworks

IEEE CertifAIEd (certification program for assessing ethics of autonomous intelligent systems to help protect, differentiate and grow product adoption)

A certification program for assessing the ethics of Autonomous Intelligent Systems (AIS) to help protect, differentiate, and grow product adoption. Through certification guidance, assessment and independent verification, IEEE CertifAIEd offers the ability to scale responsible innovation implementations, thereby helping to increase the quality of AIS, the associated trust with key stakeholders, and realizing associated benefits.
IEEE Ethics Frameworks

IEEE Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems

Ethically Aligned Design sets forth scientific analysis and resources, high-level principles, and actionable recommendations. It offers specific guidance for standards, certification, regulation or legislation for design, manufacture, and use of A/IS that provably aligns with and improves holistic societal well-being.

Other Ethics Frameworks

Other Ethics Frameworks

NIST AI Risk Management Framework

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