Option A: BrewGenius
| Website: | Hamburg Open Online University |
| Kurs: | Ethics by Design |
| Buch: | Option A: BrewGenius |
| Gedruckt von: | Gast |
| Datum: | Sonntag, 22. Dezember 2024, 11:53 |
1. Introduction of BrewGenius
Introduction of BrewGenius
ShiftMaster Café introduces BrewGenius, an AI system designed to create a unique coffee special every month. Using data on customer preferences, seasonal ingredients and emerging coffee trends, BrewGenius generates innovative drink recipes that delight customers and keep the menu fresh.
Each month, it provides baristas with detailed recipes, including ingredient lists, preparation steps and presentation tips, so staff can easily recreate the special. BrewGenius also pre-prepares the necessary ingredients for a seamless launch of the new drink. This integration not only enhances the café's offering, but also empowers staff to creatively engage with the drink-making process, fostering a sense of ownership over the café's evolving menu.
2. Ethical Analysis: Impact on Creativity and Meaningful Work
Ethical Analysis: Impact on Creativity and Meaningful Work
The introduction of BrewGenius raises significant ethical concerns regarding the potential erosion of creativity and meaningful engagement for baristas.
While BrewGenius offers innovative drink recipes, it may reduce the role of employees in the creative process of crafting new specials. If baristas rely heavily on AI-generated recipes, their sense of mastery and ownership over their craft could diminish, leading to job satisfaction issues. Employees might feel that their unique skills and artistic expression in coffee-making are undervalued, resulting in a loss of purpose and fulfillment in their work.
3. Ethical Analysis: Responsibility for Harm
Ethical Analysis: Responsibility for Harm
In addition to concerns about creativity, there are potential risks associated with the new coffee specialities. If BrewGenius fails to provide accurate labelling for allergens or other critical information related to the new drinks, it could pose health risks to customers.
In such cases, the café needs to consider who is responsible for these oversights. If the AI-generated specials result in customer harm, a liability gap may arise: is it the AI's fault for inadequate labelling, the BrewGenius developers' fault for failing to incorporate safety protocols, or the café management's fault for failing to oversee the AI's implementation? Addressing this gap is critical to ensuring accountability and maintaining customer trust.