Democratizing AI: Prioritizing Inclusiveness for All
Democratizing AI is essential for building inclusive technology that serves all communities. Learn how prioritizing inclusiveness in AI development ensures equal opportunities for everyone.
AI in Business
Governing AI – Global Perspectives
Compare regulatory proposals for AI across nations and examine challenges for international governance.
Teaching AI Systems Right from Wrong: The Business of Ethical AI
Can we develop AI with a moral compass? We look at new techniques for aligning AI goals with ethical values.
AI in the Government – Who Keeps it Accountable?
How can governments implement oversight for public sector AI systems? We review policy options and open questions.
AI Guards Personal Data While Enabling Innovation
Responsible AI techniques allow personalized services while keeping user data private, secure, and in context.
Building Inclusive AI: Representation and Accessibility
For AI to benefit society, it must work well for diverse populations. We discuss ideas to bake inclusiveness into AI from the start.
AI Futures: Utopia or Dystopia?
AI could profoundly improve life but also concentrate power. We discuss potential scenarios and ideas to guide an optimal path.
AI Bias: Obstacles to Fair & Inclusive Algorithms
Explore sources of unfair bias in AI systems and standards for auditing algorithms to promote fairness and transparency.
Achieving Justice in Machine Learning
Can algorithms be discriminatory? See how model transparency and external audits safeguard fairness.
The Global AI Ethics Movement: Turning Principles into Practice
Grassroots campaigns worldwide are driving adoption of ethical AI practices. This article highlights key groups advancing the cause.