Artificial intelligence (AI) continues to transform various industries in 2024, from generating multimedia content to detecting misinformation in elections. However, its widespread adoption presents significant challenges in terms of infrastructure, regulation, and ethics.
In 2024, AI is making a substantial impact across multiple sectors, driving notable technological advancements and posing crucial challenges. According to MIT Technology Review, one of the most prominent developments is the use of generative AI in the entertainment industry. Companies like Runway are launching advanced generative video models capable of creating high-quality clips, comparable to productions from studios like Pixar. This technology is being explored by film giants such as Paramount and Disney to enhance lip-syncing in dubbing and reinvent special effects, as seen in the recent Indiana Jones movie with a de-aged Harrison Ford via deepfake.
The impact of generative AI extends beyond entertainment. In the business sector, AI adoption is booming, with increasing pressure on the production of graphics processing units (GPUs) and the search for more affordable and efficient hardware solutions. According to the IBM Blog, many companies are turning to techniques such as Low-Rank Adaptation (LoRA) and quantization to optimize pre-trained models, significantly reducing the resources needed for fine-tuning and inference.
Despite these advances, the large-scale implementation of generative AI still faces obstacles. A report by MIT Sloan Management Review reveals that, although excitement about the technology is high, its tangible economic value has yet to fully materialize. Less than 10% of companies have deployed generative AI applications at the production level, with most still in the experimental phase. Successful integration of these capabilities requires substantial changes in data strategy and technological infrastructure, as well as employee training to adapt to new processes.
Another critical challenge is the proliferation of AI-generated misinformation, particularly in electoral contexts. Recent elections in countries like Argentina and Slovakia have witnessed the use of deepfakes to spread misleading messages, exacerbating political polarization. The ease with which realistic deepfakes can be created poses serious issues for the accuracy of online information and the integrity of democratic processes.
