Purpose driven design to augment people’s current capabilities, innovation should solve unexplored and unaddressed problems thereby ensuring innovations add value.
We are blindly accepting the purpose of apps designed by a profiteer. We are forced to accept the terms and conditions of the software we install or apps that we use. Free software on installation, often, will breach the scope of consent provided and install data collection plug-ins, and even third-party plug-ins, leaving the user with no choice. We currently don’t have any criteria for new apps to consider the disruption, addiction, or enslavement. We need to consider the consequences – it shouldn’t just be about profit.
AI should always be designed with a purpose in mind. Its core purpose should not be to minimise, but to maximise human capability. AI developed for the unknown or for high-risk scenarios should always be human controlled. Advanced innovation should be designed to overcome challenges in the discovery of new ways to improve our lives.
Experimentation and exploration are good for the research process. Doing the same in the real world may expose users to many risks. The purpose of the algorithms that are deployed for the use of millions of people in their daily lives should be clearly determined and if deviations from the purpose is noticed, it needs to be proactively addressed. Without purpose, success metrics, or deviation thresholds, it is impossible to define failure, not mentioning remediation.