Title: Ethical Deployment of artificial intelligence (ai) Technology: Insights from IBM’s Executive at the Mobile World Congress, Barcelona, 2024
The artificial intelligence (ai) landscape has been evolving rapidly, with IBM’s ai initiative, GenAI, making strides in transitioning from hype to tangible applications. This transformation was highlighted by an IBM executive during his keynote address at the Mobile World Congress held in Barcelona, 2024. Over the past eight months, various trials have been underway to explore the potential of ai across diverse sectors and domains.
During his address, the executive shed light on the evolving landscape of ai applications, particularly the emergence and significance of both large and small language models. While large language models are capable of handling a wide range of tasks, small language models enable operators and companies to harness ai capabilities tailored to specific domains – reflecting a significant step towards practical implementation.
The importance of ethical considerations in the deployment of ai technology was a key theme of the executive’s address. He underscored the need for organizations to address governance and trust issues surrounding ai utilization, emphasizing that ai applications must operate within ethical boundaries.
To facilitate ethical deployment of ai within organizations, an internal board is tasked with examining policies, processes, and procedures associated with ai deployment. This board serves as a critical mechanism for evaluating the ethical implications of each use case and upholding ethical standards throughout the organization’s ai endeavors.
Data integrity was another crucial aspect of ai applications addressed by the executive. He underscored the importance of organizations scrutinizing the sources of data to mitigate privacy concerns and safeguard intellectual property rights. In specialized or niche domains, understanding the origin of data is particularly significant for ethical compliance.
Moreover, organizations must evaluate data for potential biases or inappropriate content prior to its utilization in ai applications. The executive emphasized that corporate culture plays a pivotal role in governing ethical behavior, as adherence to ethical standards should be ingrained within organizational practices.
As ai technology continues to proliferate across industries, the emphasis on ethical considerations becomes increasingly paramount. The executive’s insights shed light on the proactive measures organizations must undertake to ensure ethical deployment of ai, including robust governance frameworks, data integrity assessments, and fostering a culture of ethical responsibility.
IBM’s commitment to promoting ethical ai practices and advocating for responsible ai deployment within organizations was underscored by the executive’s remarks. By prioritizing ethical considerations and integrating them into ai governance structures, organizations can harness the transformative potential of ai technology while upholding ethical standards and societal values.
