Artificial Intelligence (AI) has undoubtedly made significant advancements, showcased by the recent release of ChatGPT. However, while AI holds tremendous potential, its current development pace raises several concerns. The destructive power of AI, potential job loss, data collection, and the spread of misinformation have caught the attention of various stakeholders, including government bodies. Governments worldwide are taking steps to address these concerns and regulate the use of AI technology. In this article, we will explore the importance of AI governance for businesses and society, and the need to strike a balance between innovation and responsible use.
U.S. Government Initiatives
The U.S. Congress has been actively working towards AI regulation, introducing several bills to address transparency requirements and establish a risk-based framework for the technology. In October, the Biden-Harris administration rolled out an Executive Order on the Safe, Secure and Trustworthy Development and Use of Artificial Intelligence. This order provides guidelines on cybersecurity, privacy, bias, civil rights, algorithmic discrimination, education, workers’ rights, and research. Additionally, as part of the G7, the Administration introduced an AI code of conduct to promote responsible AI practices.
European Union’s Approach
The European Union (EU) has also taken significant steps towards AI governance with its proposed AI legislation, known as the EU AI Act. This legislation focuses on high-risk AI tools that may infringe upon individual rights and systems within high-risk products like AI products used in aviation. The EU AI Act outlines controls to be implemented for high-risk AI, including robustness, privacy, safety, and transparency. Any AI system deemed to pose an unacceptable risk would be banned from the market.
Protecting Customer Trust
Businesses utilizing generative AI must prioritize information privacy to maintain customer loyalty and sales. Without proper governance, customers may fear that their sensitive information could be compromised. Therefore, businesses have a responsibility to minimize the repercussions of AI usage and assure customers of their commitment to data privacy.
Minimizing Legal Risks
The use of generative AI raises concerns of copyright infringement when generated materials resemble existing works. Organizations must navigate potential legal battles and compensations sought by data owners. To avoid such risks, businesses should exercise caution and implement proper oversight mechanisms.
Addressing Bias and Societal Impact
AI outputs can perpetuate societal stereotypes, leading to biased decision-making and resource allocation. Proper governance involves rigorous processes to minimize bias risks. This includes involving those most affected by the technology to review parameters and data, promoting diversity in the workforce, and refining data to ensure fairness. Effective governance is necessary to protect people’s rights and interests while harnessing the transformative power of AI.
Ensuring Accountability and Transparency
Governance is essential throughout the AI lifecycle to establish accountability and transparency. By documenting the model’s training process, governance minimizes model unreliability, biases, changes in variable relationships, and loss of process control. This proactive approach enables effective monitoring, management, and direction of AI activities.
Comprehensive Approach: Technological and Social Considerations
Regulating AI goes beyond technical requirements and must encompass social aspects. All stakeholders, including businesses, academia, government, and society, need to actively participate in the governance process. A diverse range of voices is crucial to prevent unintended consequences that may arise from the development of AI dominated by homogeneous groups.
Setting Guidelines for Responsible AI
Companies must establish clear guidelines to address the unique risks associated with their AI interactions. By identifying potential threats such as job loss, privacy violations, data protection, social inequality, bias, and intellectual property infringement, businesses can proactively create measures to mitigate these risks. Frameworks like Wipro’s “four pillars” framework based on individual, social, technical, and environmental focuses can serve as a starting point for organizations to develop responsible AI practices.
The rapid advancement of AI necessitates robust governance to ensure responsible and ethical use of the technology. Government initiatives worldwide, such as the U.S. Executive Order and the EU AI Act, highlight the importance of regulation. For businesses, embracing AI governance is crucial to protect customer trust, avoid legal risks, and address biases. Striking a balance between innovation and regulation ultimately benefits both businesses and society, safeguarding against unnecessary risks while harnessing AI’s potential for transformative change. Through proactive governance and the establishment of comprehensive frameworks, businesses can navigate the AI landscape responsibly and contribute to a more inclusive and equitable future.