Delegated Interfaces
Imperfect
AI
Programmers create human-like interfaces through intentionally erroneous tech.
Trend
What is the Imperfect AI trend?
Imperfect AI: To err is human, but robots, AI, and technology in general are so incredibly advanced that mistakes rarely occur. Machines and software interfaces with minor, intentionally programmed slip-ups and errors can thus be more relatable than flawlessly precise and accurate tech. Along the same lines, brands can introduce humanizing mistakes into their efforts to better forge relationships with their consumers.
Trend themes
Themes within the Imperfect AI trend
Three behaviours holding the trend togetherIntentional Errors in AI
Intentionally programming AI systems with minor errors or slip-ups can make them more human-like and relatable for users, creating opportunities for brands to better connect with their consumers.
Wearable AI Devices
AI-powered wearable devices, like the 'Anti AI AI' earpiece, can detect and differentiate between human and machine-generated voices, providing new avenues for combating fake news and disinformation spread by AI.
AI Customer Service Training
AI-powered customer service messaging tools, like Janis, can be trained and monitored from platforms like Slack, reducing time and costs associated with customer service and providing valuable analytics to improve the AI's performance.
Industry implications
What the Imperfect AI trend means for industry
Where the trend changes the playbookArtificial Intelligence
The increasing prevalence of intentional errors in AI, as well as new wearable and customer service training applications, are disrupting the AI industry by making these systems more human-like and adaptable to user needs.
Smart Home Technology
Projects like Lauren McCarthy's 'Lauren' project highlight the importance of addressing concerns about privacy and control when it comes to smart home technology, creating opportunities for companies to develop more transparent and user-centric systems.
Marketing and Branding
Intentional errors in AI and other human-like features offer new ways for brands to connect with consumers on a more personal level, while AI-powered customer service tools can help companies streamline their customer service processes and improve customer satisfaction.
Workshop question
What minor tweak could you make to your brand to make it more relatable for consumers?
Trend signals
Trend signals for Imperfect AI
Trend score 3.5 out of 10, from popularity 51%, activity 44%, freshness 8%.
- Gen Alpha (not a primary audience)
- Gen Z
- Millennial
- Gen X
- Boomer (not a primary audience)
Evidence
Examples of the Imperfect AI trend
5 featured examples from Dec 12, 2016 to Aug 31, 2017Intentionally Annoying Robots
'Misbehaving (ro)bots' is a Series of Bothersome Bots
Companies in the consumer robotics industry can explore the potential for intentionally annoying robots to expand their product offerings and appeal to a wider market of customers.
Machine Learning Mashups
Microsoft's Project Murphy Creates Images Based on Search Queries
Companies in the consumer tech industry can use machine learning algorithms to develop new products and services that offer personalized, dynamic, and visually engaging interactio…
Chill-Sending AI Wearables
The Anti AI AI Device Gives You the Chills When It Detects a Fake Voice
Disruptive innovation opportunity: Apply cutting-edge technology to develop devices capable of detecting and responding to AI-generated content.
Human Smart Home Assistants
Lauren McCarthy's 'Lauren' Project Turns The Artist Into an AI System
Disruptive innovation opportunity: Combine AI technology with human-like intelligence to create more human-centered AI assistants.
Customer Service Bot Training
Startup Janis Lets You Use Slack to Train AI Customer Service Agents
The customer service industry can leverage AI customer service agents to enhance customer support, reduce costs, and streamline operations.