Yes, again that word – “Governance”.
AI governance is a critical aspect that must be addressed due to the inherent pros and cons, rewards, and risks associated with AI. People who utilize AI need to have a thorough understanding of these risks to make informed decisions. It is essential for AI to be “responsible” by adhering to ethical principles and ensuring transparency, fairness, and accountability in its applications.
In addition, it is crucial for individuals to comprehend the current limitations of AI. While AI systems can perform remarkable tasks, they still have boundaries and are susceptible to errors and biases. Furthermore, there is an unfortunate reality that unscrupulous individuals may exploit AI to deceive and defraud others, amplifying the need for effective governance mechanisms to prevent such misuse.
These challenges in AI governance are significant and require immediate attention. However, it is important to acknowledge that people also bear a responsibility in their interactions with AI. Just as we exercise judgement when considering opinions or advice from others, we must apply insight and judgement when accepting or rejecting the outputs delivered by AI systems.
Human decision-making and critical thinking play a crucial role in evaluating and validating AI-generated information. I expect this will always be the case.
Consequently, debates surrounding AI governance will inevitably arise as society grapples with its implications. Risk management strategies and accounting audits will increasingly focus on addressing the specific risks associated with AI. This heightened attention to risk mitigation will help ensure that AI technologies are deployed responsibly and with proper oversight.
In my opinion, policy makers will act more promptly to address AI governance than they did in responding to the challenges posed by cybercurrency and “cyber-derivatives” governance. The significant impact of AI on various sectors and its potential ethical considerations are likely to expedite the development of governance frameworks and regulations to safeguard against potential risks and promote the responsible use of AI.
Yes, AI needs Governance.