IBM Research VP Reveals AI’s Climate Change Solutions and Talent Development Initiatives
IBM Research AI Vice President, Sriram Raghavan, recently discussed the potential of artificial intelligence (AI) to address climate change challenges and the importance of developing AI talent for the future. Raghavan shared his insights in an email interview after participating in two AI-focused events in India.
One of the key areas IBM is exploring is the application of AI in weather and climate forecasting. Raghavan revealed that IBM is collaborating with NASA to develop an AI foundation model that combines IBM’s AI expertise with NASA’s Earth science knowledge. This model aims to overcome the limitations of existing technology by offering greater data diversity, faster inferencing time, and improved accessibility, ultimately enhancing the accuracy of climate forecasting and related applications.
Acknowledging the link between AI and potential Black Swan events, Raghavan emphasized that while AI poses risks, it can also play a crucial role in preventing such events. By leveraging enhanced risk management strategies, predictive capabilities, and real-time reporting, AI can contribute to building more trusted and resilient models. To ensure the responsible development of AI, Raghavan highlighted the need for open innovation and information sharing, and IBM has partnered with Meta and over 50 other organizations globally to launch the AI Alliance. This collaboration aims to advocate and support an open approach to AI innovation, including the development of safety tools and evaluation methodologies.
Addressing concerns about the sustainability of AI, Raghavan emphasized that sustainable AI is not a pipe dream but a priority for many businesses today. IBM is actively working on reducing energy consumption and carbon emissions by deploying energy-aware algorithms, seeking out less carbon-intensive energy sources, and developing energy-efficient hardware. Initiatives like these help clients optimize their operations while reducing waste and emissions, aligning with the growing focus on sustainability in the business world.
In terms of developing AI talent, Raghavan stressed the importance of prioritizing this area for organizations. The demand for AI specialists is projected to increase significantly in the coming years, creating numerous job opportunities. However, it is equally crucial to ensure that underrepresented communities benefit from AI advancements and are not further disadvantaged. In line with this commitment to equitable access, IBM has announced a new initiative to train two million learners in AI by 2026. This includes collaborations with universities and NGOs worldwide, as well as the introduction of new generative AI coursework through the IBM SkillsBuild program.
By actively exploring the potential of AI in addressing climate change, advocating for responsible AI development through the AI Alliance, prioritizing sustainability, and investing in AI talent development, IBM Research AI is making significant contributions to harnessing the power of AI for the greater good.
