Artificial intelligence has rapidly evolved from experimental tools into core business infrastructure, transforming how companies operate, compete, and innovate. As AI becomes embedded in platforms, workflows, and decision-making systems, key trends such as the rise of AI ecosystems, empowered hybrid workforces, and the growing importance of trust and verification are reshaping enterprise strategy. Looking ahead, convergence, governance, and security will define the next phase of AI adoption.
Tag: AI governance
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.
Shadow AI vs Managed AI: Kaspersky reviews the use of neural networks for work in the META region
Kaspersky’s latest report, “Cybersecurity in the workplace: Employee knowledge and behaviour,” reveals that over 81% of professionals in the Middle East, Turkiye, and Africa (META) region use AI tools for work, but only 38% have received cybersecurity training on safe neural network use. The study highlights a growing divide between “Shadow AI” —unregulated, employee-driven use of generative AI tools—and “Managed AI”, where organisations enforce policies and training to mitigate risks like data leaks and prompt injections. With AI now widely used for writing, content creation, and data analytics, Kaspersky urges companies to adopt structured AI governance policies, tiered access models, and employee education to balance innovation with security.
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.