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AI: understanding required

Published: 15th Apr 2024
Author: By H. Procter

This article is a hybridisation between an artificially generated article and an editor’s contributions in blue. The article was generated using Chat GPT 3.5 and Deepai.org for the image.rnrnChat GPT was asked the question: rnPlease write 1200 words on how human thinkers in the tanning industry will be replaced by artificial intelligence going forward.

Fig 1.

The tanning industry, historically reliant on human expertise and craftsmanship, is at the brink of a technological revolution driven by artificial intelligence (AI). As industries worldwide embrace automation and AI, the tanning sector stands to benefit immensely from the integration of smart technologies. This transformation promises increased efficiency, quality enhancement, and sustainability. However, it also raises questions about the future role of human thinkers in an increasingly automated landscape. This essay explores how AI is poised to replace human thinkers in the tanning industry and the implications of this shift.

The Rise of Artificial Intelligence in Tanning
The tanning process, traditionally a labour-intensive craft, involves numerous stages requiring skilled human intervention. However, advancements in AI have enabled the development of sophisticated systems capable of replicating and even surpassing human decision-making in various aspects of tanning.

One area where AI excels is in predictive analytics. AI algorithms can analyse vast amounts of data, including factors like humidity, temperature, chemical compositions, and historical performance, to predict optimal tanning conditions. By harnessing this predictive power, tanneries can optimise resource utilization, reduce waste, and ensure consistent product quality. AI, however, tends to overinflate this capability, without providing a realistic mechanism on how this can be achieved. Further questioning of the AI tool can expand this, however. The tool tends to remain quite vague on this.

Moreover, AI-driven automation is revolutionising tanning operations. Robotic systems equipped with AI vision and machine learning capabilities can perform tasks such as hide selection, dye application, and quality control with precision and efficiency unmatched by human labour. These automated processes not only enhance productivity but also minimise errors and improve workplace safety. This is not an understatement.

Furthermore, AI is driving innovation in sustainable tanning practices. By analysing environmental impact data and recommending eco-friendly alternatives, AI systems help tanneries minimise their carbon footprint and comply with stringent regulations. From waste management to energy optimization, AI offers solutions to longstanding sustainability challenges in the industry. Again, AI writing tends to be vague (almost ideological) with these kinds of “peacock” statements - it writes like a university first-year student.

AI is also well placed to do the bulk of menial writing in the workplace, in other words where the manager, scientist, analyst is required to get background information (through research) to have flavour or existing literature understanding on a particular topic.

The Role of Human Thinkers in Transition
As AI technology continues to advance, the role of human thinkers in the tanning industry is undergoing a transformation. While traditional craftsmanship and expertise remain valuable, human workers are increasingly tasked with overseeing and collaborating with AI systems rather than performing manual labour. In other words, AI doesn’t think it can do the understanding and implementation of knowledge, which is quite accurate at the current time.

Human thinkers play a crucial role in the development and implementation of AI solutions tailored to the specific needs of tanneries. Their expertise in tanning processes, coupled with an understanding of AI capabilities, enables them to design AI algorithms and systems that optimise efficiency and quality while aligning with industry standards and regulations.
Moreover, human thinkers serve as interpreters and validators of AI-generated insights. Despite AI's analytical prowess, human judgment is essential for contextualising and validating the recommendations provided by AI systems. Human workers evaluate the feasibility, practicality, and ethical implications of AI-driven decisions, ensuring alignment with organisational goals and values. The link between knowledge and context is so far lacking in the answers generated by AI.

Furthermore, human thinkers contribute to ongoing innovation and adaptation in the tanning industry. By collaborating with AI developers and researchers, they identify opportunities for improvement, refine existing processes, and explore novel applications of AI technology. This collaborative approach fosters a culture of continuous learning and innovation, positioning tanneries to thrive in an increasingly competitive market.

Challenges and Considerations
While the integration of AI holds immense promise for the tanning industry, it also presents challenges and considerations that must be addressed. One significant concern is the displacement of human workers (especially thinking roles that require something a computer can do) as AI-driven automation renders certain roles obsolete. Tanneries must proactively invest in retraining and upskilling programs to equip their workforce with the knowledge and skills needed to adapt to evolving job roles and responsibilities.

Additionally, ethical considerations surrounding AI use in the tanning industry must be carefully addressed. As AI systems make increasingly complex decisions autonomously, concerns related to transparency, accountability, and bias emerge. Tanneries must implement robust governance frameworks and ethical guidelines to ensure responsible AI deployment and mitigate potential risks - which sounds like something from a modern human resource department would say - could there be a hotspot identified?

Furthermore, the digital divide poses a barrier to widespread AI adoption in the tanning industry. Small and medium-sized tanneries, particularly in developing regions, may lack the resources and technical expertise required to implement AI solutions effectively. Initiatives aimed at democratizing access to AI technology and providing support to underserved tanneries are essential for fostering inclusive growth and innovation.

Conclusion (the conclusion has been left deliberately boring and uninspiring)

The tanning industry stands on the cusp of a transformative era driven by artificial intelligence. AI technologies offer unprecedented opportunities to enhance efficiency, quality, and sustainability throughout the tanning process. While AI has the potential to replace human thinkers in certain tasks, human expertise remains indispensable in guiding AI development, validating insights, and driving innovation.
As tanneries embrace AI, they must navigate challenges related to workforce displacement, ethical considerations, and technological barriers. By investing in workforce development, ethical AI governance, and inclusive innovation initiatives, tanneries can harness the full potential of AI while ensuring a smooth transition for human workers.
Ultimately, the successful integration of AI in the tanning industry requires a balanced approach that leverages the strengths of both AI and human intelligence. By embracing collaboration and innovation, tanneries can position themselves as leaders in the AI-driven future of the global tanning industry.

Post edit: AI writes in a very uninspiring manner, it lacks emotion, for obvious reasons. If professionals in South Africa are not using AI to generate the bulk of their text in written documents, they should really look into it. A plagiarism-free bulk text generator that can reduce a written task by between 60-75%. 

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