As artificial intelligence transforms industries, brands face growing pressure to manage not only AI adoption but also public perception. Mandy Davis, Managing Director at Penquin, explains why transparency, ethical AI practices, and human-centred storytelling are essential for maintaining consumer trust. The article explores how brands can address concerns around privacy, misinformation, and job displacement while using AI responsibly to strengthen credibility and customer relationships.
Tag: AI transparency
Responsible by Design: How Tech Partners Must Rethink AI Deployment
Responsible AI is no longer optional as artificial intelligence moves from experimentation to large-scale enterprise deployment. In this article, Mindware Group CTO Mostafa Kabel explores how technology partners must rethink AI implementation to address legal compliance, licensing, intellectual property ownership, ethical responsibility, and service accountability. The analysis highlights the risks of unmanaged AI adoption, including regulatory exposure, bias, and loss of trust, while outlining practical steps for updating SLAs, ensuring transparency, and aligning with emerging regulations such as GDPR and the EU AI Act. The piece positions responsible, transparent, and well-governed AI as a critical competitive advantage for partners supporting secure and sustainable digital transformation across global and MEA markets.
Digital Cooperation Organization Launches AI Ethics Evaluator Tool to Promote Ethical AI Worldwide
The Digital Cooperation Organization (DCO) has launched the DCO AI Ethics Evaluator, a policy tool designed to help governments, organizations, and developers assess and mitigate ethical and human rights risks in AI systems. Introduced at the AI for Good Summit 2025 and WSIS+20 in Geneva, the tool operationalizes the DCO’s Principles for Ethical AI through a structured self-assessment, offering tailored recommendations for ethical AI implementation.