The world of corporate social responsibility (CSR) has discovered a new ally - artificial intelligence. AI can enhance CSR initiatives with its data-crunching capabilities and predictive models, aiding firms in making socially responsible decisions that benefit shareholders and broader stakeholders alike.

AI isn't just a buzzword; it's a tool that can be harnessed to tackle pressing environmental issues, from reducing CO2 emissions to enhancing horticultural products. In the quest to achieve the Sustainable Development Goals (SDGs), AI might just be our secret weapon.

In spite of AI's immense potential, there are real concerns about privacy infringements, algorithmic bias, and ethical dilemmas in its application. It's paramount we build transparency and accountability into our AI systems and mitigate these potential risks.

CSR is not merely a corporate fad; it's a crucial component of sustainable development. To foster responsible corporate behavior, legislative measures, such as Section 172 of the UK Companies Act 2006, have been enacted to require consideration of non-shareholder stakeholders.

AI stands to revolutionize corporate decision-making with its ability to analyze massive datasets and predict trends. However, incorporating AI into boardroom decisions brings its own set of challenges, from data accuracy to ethical considerations. We need to tread carefully as we embrace this digital dawn.

Trust in AI is not just desirable, it's essential. As we continue to integrate AI into our daily lives, we must ensure it's used responsibly and ethically. A harmonized risk-based regulatory framework can help cultivate this trust, ensuring AI's sustainability for generations to come.

For AI to truly contribute to sustainable development, it must consider the three pillars of sustainability - environment, society, and economy - in its design and application. Our challenge is to ensure AI operates within these parameters, enhancing our quality of life without compromising that of future generations.

As AI's reach expands across borders, the need for international cooperation in AI regulation becomes critical. Bodies like the UK's House of Lords Select Committee on AI and the All-Party Parliamentary Group on AI have begun addressing the economic, social, and ethical implications of AI, setting a precedent for global dialogue.

While AI can be a force for good, it's crucial we also consider its potential negative impacts. Bias in AI algorithms, societal resilience to AI-driven changes, and issues around privacy are just a few areas that warrant further research.

The ethical landscape of AI development is a web of complex dilemmas, requiring active participation from all stakeholders. Ensuring transparency, upholding privacy, and navigating the collective vs. individual benefit conundrum are just a few challenges we face as we strive to integrate AI ethically.

In conclusion, the marriage of AI and sustainability heralds an era of unprecedented potential. However, it's one that requires careful navigation, with diligent research, robust ethical frameworks, and inclusive legislation to ensure the equitable and responsible development and deployment of AI technologies.