Trends
A layered model for AI governance
Artificial intelligence, or AI, is a technology that enables computers and machines to simulate human intelligence and problem-solving capabilities. Al, from a technical perspective, is not a single technology, but rather a set of techniques and sub-disciplines ranging from areas such as speech reco…
Headline
Artificial intelligence, or AI, is a technology that enables computers and machines to simulate human intelligence and problem-solving capabilities. Al, from a technical perspective, is not a single technology, but rather a set of techniques and sub-disciplines ranging from…
Context
Artificial intelligence , or AI, is a technology that enables computers and machines to simulate human intelligence and problem-solving capabilities. Al, from a technical perspective, is not a single technology, but rather a set of techniques and sub-disciplines ranging from areas such as speech recognition and computer vision to attention and memory, to name just a few. From a phenomenological perspective, however, the term AI is often used as an umbrella term to refer to a certain degree of autonomy exhibited in advanced health diagnostic systems, next-generation digital tutors, self-driving cars, and other A-based applications share. Often, such applications, in turn, impact human behaviour and evolve dynamically in ways that are at times unforeseen by the systems’ designers.
Evidence
Pending intelligence enrichment.
Analysis
Artificial intelligence (AI) governance refers to the guardrails that ensure AI tools and systems are and remain safe and ethical. It establishes the frameworks, rules and standards that direct AI research, development and application to ensure safety, fairness and respect for human rights. AI governance encompasses oversight mechanisms that address risks like bias, privacy infringement and misuse while fostering innovation and trust. An ethical AI-centered approach to AI governance requires the involvement of a wide range of stakeholders, including AI developers, users, policymakers and ethicists, ensuring that AI-related systems are developed and used to align with society’s values. Governance aims to establish the necessary oversight to align AI behaviours with ethical standards and societal expectations and to safeguard against potential adverse impacts. AI governance is essential for reaching a state of compliance, trust and efficiency in developing and applying AI technologies. With AI’s increasing integration into organisational and governmental operations, its potential for negative impact has become more visible. High-profile missteps like the Tay chatbot incident (link resides outside ibm.com), where a Microsoft AI chatbot learned toxic behaviour from public interactions on social media and the COMPAS (link resides outside ibm.com) software’s biased sentencing decisions have highlighted the need for sound governance to prevent harm and maintain public trust.
Key Points
- Artificial intelligence (AI) is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.
- AI governance is the legal framework for ensuring AI and machine learning technologies are researched and developed to help humanity adopt and use these systems in ethical and responsible ways.
- The size, diversity, intricacy, and level of technological independence of AI systems necessitate reevaluating laws, regulations, and policies. We employ an analytical model consisting of 3 layers to represent the complexity of AI governance.
Actions
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