Regulatory Strategies for Artificial Intelligence Management
In the rapidly evolving world of artificial intelligence (AI), the need for ethical guidelines and regulations has never been more pressing. Recent advancements in AI, such as ChatGPT, generative AI, and large language models, have sparked a wave of concerns about the responsible use of AI.
Businesses worldwide are being encouraged to develop AI governance best practices to minimize risks, avoid harm, and support the betterment of humankind. This includes a commitment to ethical behaviour, using AI to provide accurate information, and not creating or distributing misinformation.
The European Union is leading the charge with the EU AI Act, aiming to ban AI systems that pose unacceptable risks to people. The United States has also joined the conversation, with the Senate initiating discussions with tech CEOs about AI concerns on September 13, 2023. President Biden issued an executive order regarding AI concerns on October 30, 2023.
Meanwhile, countries like China, Singapore, Japan, and Canada are developing their own legal frameworks to regulate AI. The European Union, with its comprehensive regulatory approach, and the United States, with its NIST AI Risk Management Framework since 2023, are at the forefront of these efforts.
However, AI governance is not just about regulations. It also deals with critical issues such as privacy, built-in biases, impersonation, theft, and fraud. Unintentional biases and prejudices built into AI algorithms can impact hiring practices and customer service, using demographics such as race or gender. To address this, data governance courses should be provided to staff and management to ensure understanding of the organization's code of ethics and long-term goals.
A philosophy of "do no harm" should be developed when using AI. This means protecting customer information, both directly supplied and purchased from other organizations. A data steward should be responsible for creating and submitting ethics reports on the use of the organization's AI to ensure accountability and promote compliance.
AI can also be used to support criminal behaviour or create and distribute misinformation. To combat this, algorithms can be developed to separate and identify accurate information from misinformation, potentially preventing AI from performing criminal acts and distributing misinformation.
The ability to create life-like images, referred to as "deep fakes", is a concern for some politicians and political groups. To address this, measures such as China's The Interim Administrative Measures for Generative Artificial Intelligence Services, implemented on August 15, 2023, are being put in place to regulate AI-control.
In the face of these challenges, the need for ethical AI governance is more important than ever. As AI continues to permeate our lives, it is crucial that we use it responsibly and ethically to ensure its benefits outweigh its risks.
In a recent development, the Writers Guild of America went on strike, demanding increased wages and severe limitations on the use of AI for writing purposes. This underscores the need for a balanced approach to AI governance, one that protects workers while promoting the responsible use of AI.
In conclusion, the future of AI governance lies in a careful balance between technological innovation and ethical responsibility. By developing and implementing ethical guidelines and regulations, we can ensure that AI serves the best interests of humanity.
