In the age of generative AI, the potential of this technology grows every single day as corporations embrace its latest capabilities. However, the true advancement of AI goes beyond its technical capabilities.
It's about how technology is used to reflect collective values and create a world where innovation advantages everyone, not only a privileged few. Prioritizing trust and security while scaling artificial intelligence (AI) with governance is paramount to achieving the complete advantages of this technology.
It is becoming increasingly clear that for a lot of corporations, the flexibility to responsibly integrate AI into their business operations is vital to maintaining their competitiveness. To do that, corporations must develop an AI strategy that permits them to make use of AI responsibly. This strategy should include:
To expand the probabilities of AI, corporations should consider adopting an open strategy. Open ecosystems encourage more AI innovation and collaboration. They require corporations to compete based on how well they develop and deploy AI technology, they usually allow anyone to research, test, study, and deploy AI. This creates a broader and more diverse pool of perspectives that helps develop responsible AI models.
The IBM AI Ethics Board highlights the probabilities of responsible AI
The IBM AI Ethics Board recognizes the opportunities AI presents while taking steps to forestall misuse. A responsible AI strategy is on the core of this approach:
The panel's white paper, “Foundation Models: Opportunities, Risks, and Mitigations,” shows that foundation models are significantly higher capable of handle difficult and complicated problems. With AI and data management as a foundation, the advantages of foundation models could be responsibly realized. These include increased productivity (expanding the areas where AI could be utilized in a company), completing tasks that require different data types (similar to natural language, text, image, and audio), and reduced costs by applying a trained foundation model to a brand new task (reasonably than training a brand new AI model for the duty).
Foundation models are productive and supply AI with the flexibility to automate routine and tedious tasks in operational workflows, leaving users more time for creative and revolutionary work. An interactive version of the Foundation model white paper can be available through the IBM Watsonx™ AI Risk Atlas.
Recognizing the potential productivity gains from AI, the panel's white paper on augmenting human intelligence emphasizes that effectively integrating AI into existing work practices can enable AI-enabled employees to work more efficiently and accurately, contributing to an organization's competitive differentiation.
By taking on routine tasks, AI can attract and retain talent by providing employees with opportunities to develop their skills for brand spanking new and different profession paths or to give attention to more creative and complicated tasks that require critical pondering and expertise inside their existing roles.
Earlier this yr, the IBM AI Ethics Board emphasized that a human-centered approach to AI must advance AI capabilities while adopting ethical practices and considering sustainability requirements. Developing AI requires enormous amounts of energy and data. In 2023, IBM reported that 70.6% of its total electricity consumption got here from renewable sources, including 74% of the electricity utilized by IBM's data centers, that are critical for training and deploying AI models.
IBM can be focused on developing energy-efficient methods to coach, optimize and run AI models. IBM® Granite™ models are smaller and more efficient than larger models and due to this fact can have less environmental impact. As IBM integrates AI into all applications, our goal is to fulfill the growing expectations of shareholders, investors and other stakeholders for responsible and sustainable use of AI.
AI offers an exciting opportunity to deal with a few of society's most pressing challenges. This AI Appreciation Day, join the IBM AI Ethics Board and support our commitment to the responsible development of this transformative technology.
Learn more about IBM's views on AI ethics. Learn how IBM Granite models are designed specifically for enterprise.
