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Mitchell G. Patton

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Managing AI risk with governance approaches to legal and cybersecurity challenges

Productivity, insight, and scale can all be amplified through artificial intelligence, though businesses and investors face distinct risk categories as a result. Operational failures, legal and regulatory exposure, ethical harm, cybersecurity vulnerabilities, financial misstatements, and reputational damage represent key concerns. What sets AI risk apart from conventional technology risk is that models may behave in unpredictable ways, absorb bias from their training data, and undergo changes over time independent of direct human oversight.Effective governance practices do not aim to eliminate AI risk, which is unrealistic, but to identify, measure, monitor, and control it in a way that aligns with corporate…
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Switzerland: CSR cases advancing responsible finance and corporate transparency

The influence of SFDR and CSRD on Swiss sustainability reporting practices

Switzerland’s global financial and commodity centers have long been engines of wealth management, banking, insurance and trading. Over the past two decades, public pressure, regulatory shifts and high-profile crises have pushed Swiss corporations and financial institutions toward greater corporate social responsibility (CSR), more robust environmental, social and governance (ESG) practices, and improved transparency. This article maps the regulatory context, highlights emblematic corporate cases and institutional responses, and extracts lessons for responsible finance in Switzerland and beyond.Regulatory and international context shaping Swiss CSRGlobal standards as anchors. Swiss companies increasingly align reporting and due diligence with the UN Guiding Principles on Business…
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Why is private credit attracting more institutional and retail capital?

What drives institutional and retail investors to allocate more funds to private credit

Private credit refers to non-bank lending where capital is provided directly to companies, often through private funds, rather than through public debt markets or traditional banks. Over the past decade, this asset class has moved from a niche strategy to a core allocation for many institutional investors and, increasingly, for retail investors as well. The surge in interest is not driven by a single factor but by a combination of structural changes in financial markets, evolving investor needs, and the search for resilient income.The Search for Yield in a Low-Return WorldOne of the primary catalysts fueling private credit's immense appeal…
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Londres, en Reino Unido: qué impulsa el interés del private equity por carve-outs

Aligning AI risk management with corporate strategy through governance practices

Artificial intelligence can amplify productivity, insight, and scale, but it also introduces distinct categories of risk for businesses and investors. These include operational failures, legal and regulatory exposure, ethical harm, cybersecurity vulnerabilities, financial misstatements, and reputational damage. AI risk differs from traditional technology risk because models can behave unpredictably, learn from biased data, and evolve over time without direct human instruction.Effective governance practices do not aim to eliminate AI risk, which is unrealistic, but to identify, measure, monitor, and control it in a way that aligns with corporate strategy and fiduciary responsibility.Governance at the Board Level: Ensuring Oversight and AccountabilityStrong…
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