Creating Transparent and Accountable AI Systems
Source: World Economic ForumType: White PaperContent: A guide to building AI systems that prioritize transparency and accountability in their decision-making processes.Link: WEF - Transparent AI
Building Trustworthy AI Systems for SMEs
Source: CapgeminiType: White PaperContent: Explores how SMEs can build AI systems that are transparent, trustworthy, and ethical.Link: Capgemini - Trustworthy AI
Responsible AI in SMEs: How to Get Started
Source: IBMType: ChecklistContent: A checklist for small businesses on how to start implementing responsible AI, with practical steps for ensuring ethics.Link: IBM - Responsible AI for SMEs
AI Governance: Ensuring Ethical AI in Business Applications
Source: PwCType: White PaperContent: Focuses on governance models for AI and how businesses can structure AI oversight to ensure ethical practices.Link: PwC - AI Governance
How to Develop and Implement Responsible AI
Source: AccentureType: Online articleContent: A strategic framework for organizations to develop and deploy responsible AI while ensuring ethical decision-making and transparency.Link: Accenture - Responsible AI
Responsible AI: An Overview of Governance and Transparency
Source: McKinsey & CompanyType: White PaperContent: Examines how businesses can adopt responsible AI practices, focusing on governance, ethics, and reducing bias in AI systems.Link: McKinsey - Responsible AI Overview
A Practical Guide to Building Ethical AI
Source: Harvard Business ReviewType: Online articleContent: Provides a roadmap for implementing AI ethically, focusing on transparency and responsible use in SMEs.Link: HBR - A Practical Guide to Building Ethical AI