AI is revolutionizing business, but with its power comes great responsibility. As businesses deploy autonomous and assisted intelligence tools, leaders must integrate ethical considerations into their strategies to ensure AI aligns with societal values. This integration counters the risks of opaque AI systems, potential biases, and discriminatory decisions. In this game of high stakes, proactive ethical leadership is the ace in the hole.

AI's power and potential are vast, but it's not without its ethical quandaries. Bias and discrimination present critical challenges in AI systems. Balancing the power of AI with human complexities and legal obligations forms the tightrope businesses must walk. Techniques to counteract bias include diversifying data, fostering diversity in teams, and implementing ethical guardrails. Transparency in AI algorithm design also plays a pivotal role in this act.

Addressing these challenges calls for industry-specific ethical frameworks, employee education on AI ethics, and continuous monitoring. Businesses should create an AI ethical risk framework tailored to their industry and proactively involve stakeholders in the AI development process. They must also clarify objectives, mitigate biases, cultivate accountability, and foster ethical leadership.

Adopting responsible AI frameworks, principles, and practices ensure AI systems benefit all parties involved - individuals, society, and businesses - while upholding moral, ethical, legal, and societal values. Businesses enjoying the benefits of ethical AI models experience enhanced trust-building and regulatory compliance. An essential part of this blueprint is an organization's AI Code of Ethics outlining responsible and ethical AI use.

The ethics of technology must adhere to universal values such as access rights, accountability, digital rights, freedom, human judgment, privacy, security, and well-being. As businesses continue their upward ascent in the digital world, ensuring AI systems are reliable, transparent, governable, and aligned with human values is not just necessary - it's non-negotiable.

A key challenge lies in ensuring AI technologies are developed and used ethically to avoid biases and discrimination. Transparency, accountability, fairness, privacy, and safety - these guiding principles form the bulwark against unethical AI. By rooting out bias and discrimination from AI systems, businesses can nurture an environment of ethical AI usage.

The intersection of AI and ethics opens a new chapter in business growth and innovation. Businesses that incorporate responsible AI use in their organizational strategies reap benefits beyond mere compliance. They create a common language for technology, business, and compliance across different sectors, fostering trust and paving the way for sustained growth.

Addressing AI hazards through regulation, establishing AI laws, and focusing on social well-being can ensure a brighter future for AI ethics. Consulting with AI development experts can also help businesses implement AI responsibly for growth. As we step into a future that's more and more intertwined with AI, the importance of ethical AI can't be overstated. The road to business transformation runs through the realm of ethics, and businesses that understand this are sure to be the torchbearers of the future.