AI Code Assistants in Practice: Security, Quality and Responsibility
New research shows AI-generated code often contains security gaps and quality flaws, and sets out what executive teams must verify before production use.
Perspectives on AI, governance, cybersecurity and digitalisation for boards and executive teams.
New research shows AI-generated code often contains security gaps and quality flaws, and sets out what executive teams must verify before production use.
AI agents boost efficiency and open new entry points at the same time: data leaks, shadow IT, social engineering. Governance decides the outcome.
A US study shows biased AI models can measurably shift political opinions and budget decisions, even against a person's own convictions.
Family offices are moving from paper-based processes to AI-driven operations. Governance decides whether the shift succeeds.
IBM's 2025 report: global breach costs fall 9% to USD 4.44m while US costs hit a record USD 10.22m, driven by AI and shadow AI.
MIT's AI Risk Repository maps 1,612 risks from 65 taxonomies into one public database, a reference point for boards overseeing AI adoption.
IBM data shows scaled AI projects average just 7 per cent ROI. The difference is governance, carried by the board and the executive team.
Nearly a third of financial-sector cyber incidents in 2023 traced back to external providers. Responsibility stays with the board.
Why technological competence is becoming a central pillar of board governance, from strategy and cyber oversight to AI and accountability.
Part one of a series on AI and corporate ethics: displacement, internal inequalities, and leadership's responsibility towards employees.