Trustworthy AI Series: Responsible AI Concepts [AI Today Podcast]
Feb 14, 2024
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The podcast explores the concept of responsible AI and its significance in building trust, preventing misuse, and ensuring privacy, safety, and security. It also discusses the importance of considering positive purpose, safety, security, trust, human accountability, and privacy in building AI systems. Additionally, the podcast highlights the importance of responsible AI by discussing not misusing it for criminal purposes, not enabling lethal autonomous weapons, and avoiding mass replacement of human workers or causing economic disruption.
Responsible AI emphasizes using technology ethically and responsibly, ensuring trust and preventing unethical use.
Responsible AI involves safeguarding privacy, establishing human accountability, and complying with laws to build trustworthy AI systems.
Deep dives
Understanding Responsible AI
Responsible AI emphasizes using technology in a way that does not erode trust or become unethical. It focuses on ensuring responsible use of AI systems, such as facial recognition, algorithmic decision-making, and user profiles. Responsible AI also involves safeguarding privacy, preventing misuse or abuse, ensuring safety and security, and establishing human accountability for AI system behavior. The goal is to build AI systems that have a positive purpose, are trustworthy, comply with laws, and do not disrupt the workforce.
Main Elements of Responsible AI
The main elements of responsible AI include having a positive purpose, ensuring safety and security, building trust, establishing human accountability, respecting privacy, complying with laws, avoiding lethal autonomous weapons, and minimizing workforce disruption. Organizations should focus on building AI systems that serve a positive purpose, prioritize safety and security, and respect human privacy. It is crucial to have identified individuals who are responsible and accountable for the behavior and operation of AI systems.
Training and Certification for Trustworthy AI
Cognitica offers training and certification programs for building trustworthy AI systems. The trustworthy AI training covers a comprehensive framework for building ethical, responsible, transparent, governed, and explainable AI systems. It also addresses emerging laws and regulations related to AI. Organizations can combine trustworthy AI training with CPM AI plus E certification, which incorporates best practices for AI project management. These programs ensure expertise in trustworthy AI and project management, demonstrating commitment to responsible and reliable AI practices.
AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas.