In the technology field, the use of alarmism as a marketing tool in artificial intelligence (AI) is nothing new. Companies and the media often exaggerate both the promises and dangers of AI, which can distort public perception and complicate rational discussion about its practical applications. This approach not only increases interest but can also generate investment and development in the sector, sometimes at the cost of clear and balanced understanding.
Stochastic Parrot and the SALAMI Proposal
Timnit Gebru’s critique of AI as a “stochastic parrot” highlights a central concern: many AI systems, especially in natural language processing, generate responses based on probabilities, without a true understanding of the content. These results may seem impressive on the surface but lack real depth and comprehension. Stefano Quintarelli, a former Italian lawmaker and technologist, suggested changing the term AI to SALAMI (Systemic Approaches to Learning Algorithms and Machine Inferences) to emphasize the need for systematic and evidence-based approaches in machine learning, and to underscore the absurdity of the frequently asked questions about AI: Is “SALAMI” sentient? Will “SALAMI” ever have supremacy over humans? This suggestion aims to promote a more mechanical and less mystical view of the technology.
The Golden Rules of Emily M. Bender
Emily M. Bender, a renowned linguist, reminds us of the importance of distinguishing between colloquial use of words and their technical meanings in scientific contexts. This principle is crucial to avoid misunderstandings in discussions about AI, where terms like “learning” and “intelligence” can lead to exaggerated expectations. Her work underscores the need for careful and critical analysis of how technological developments are presented and understood, avoiding oversimplification and uncritical acceptance of technological claims.
The Phenomenon of Criti-Hype
As Lee Vinsel points out, technological critique can often fall into the same hype cycle it attempts to dismantle. This is particularly evident in AI coverage, where critiques can sometimes amplify unverified claims circulating in the media. To counter this, Vinsel proposes a critique grounded in solid technical knowledge and thorough evaluation of technological claims, which could lead to a more realistic understanding of AI’s capabilities and limitations.
Socioeconomic and Cultural Impact of AI
Beyond its technical and economic role, AI is also redefining social and cultural structures. As technology advances, ethical issues about privacy, security, and the potential displacement of labor arise. These issues, often framed within a “magical capitalism” that promises to solve complex problems with simple technological solutions, require deep and thoughtful debate. AI is not just a technical tool but a phenomenon that is actively shaping the way we think, work, and relate to each other.
Disenchanting Technology
The current challenge is to demystify technology, removing the veil of mystery that often surrounds it. This involves educating the public about what AI can and cannot do and promoting a more critical and less human-centered approach. Only through well-informed understanding and ethical critique can we ensure that AI is integrated into society in a way that benefits everyone equitably, without perpetuating or exacerbating existing inequalities.
