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How Companies Can Take a Global Approach to AI Ethics

Harvard Business

Many efforts to build an AI ethics program miss an important fact: ethics differ from one cultural context to the next. To address this problem, companies need to develop a contextual global AI ethics model that prioritizes collaboration with local teams and stakeholders and devolves decision-making authority to those local teams.

Ethics 247
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Leveraging AI for Enhanced Business Performance

Effective Managers

Examining Practical Applications of Artificial Intelligence (AI) in Improving Business Processes Leveraging AI into business operations has become a transformative force across various industries. AI in Streamlining Operations AI technology has made significant strides in optimizing operational efficiency.

Ethics 243
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Being an Ethical Business in a Corrupt Environment

Harvard Business

Our research in Egypt , Zimbabwe , and India shows that organizations should view the prospect of building a strong ethical reputation in such environments as an opportunity, and consider the costs of resisting corruption as an investment in building such a reputation. Ethics Can Be a Differentiator.

Ethics 135
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The Future of Work: Trends and Predictions

Effective Managers

Building a culturally competent workforce is becoming more important as businesses operate in an increasingly globalized world. Sustainability and ethical practices are no longer optional; they have become critical to building trust with both employees and consumers.

Trends 148
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The Art of Storytelling in Corporate Training

Clarity Consultants

Custom eLearning development, guided by an experienced instructional design consultant, can help organizations integrate storytelling into their training programs. Develop Relatable Characters Learners are more likely to engage with stories that feature characters facing challenges similar to their own.

Training 130
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Sustainability: The Growing Importance of ESG Metrics

Tom Spencer

This article delves into the rising importance of ESG metrics, how companies are integrating them into their operations, provides leading examples, and highlights the evolving regulatory landscape. Governance Metrics: These assess the quality of a company’s leadership, executive compensation, and adherence to ethical standards.

Metrics 78
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How to Implement AI — Responsibly

Harvard Business

They determined that, although data engineers and data scientists typically take on most responsibility from conception to production of AI development lifecycles, non-technical leaders can play a key role in ensuring the integration of responsible AI.

How To 247