Project: FMP

Practice Ideation

As an interdisciplinary design student, I am always interested in how does technological evolution adjust the landscape of our modern life, and intend to envision the influence. I was looking for the burning issue about big data and social network before, till I read the book “Automate This: How Algorithms Came to Rule Our World” by Christopher Steiner, as the title, the book tells the story of how algorithms took over and shows why the bot revolution is about to spill into every aspect of our lives, often silently. The chapter talks about invisible algorithms in the pop music industry inspired me, there are so… More

Ambiguity of AI-human collaboration to author pop music

What’s also unclear is the question of authorship. This is especially true for the creative works based on machine learning. Since the input data allows AI to learn from is made by someone else, if the outcome is applied for commercial use, should it not infringe the copyright of the owners of those provided data? Obviously, the owners can’t sue software, people who use a tool that caused infringement on others works would be accused. Could someone with a significant influence on the sound of modern music—for instance, the Beatles—argue that their copyrights are infringed by software designed to deconstruct, analyze, and iterate on their… More

Can AI assist in making music creatively?

We’ve been intrigued for a while about the intersection between artificial intelligence and creativity. Are we available to automate, or intelligently do the creative works by pressing a button? Actually, the button already exists (Dredge, 2017). On Jukedeck’s website, a personalized song can be created simply by inputting what genre, mood, tempo, instruments and track length you want. Jukedeck’s system will sell a royalty-free licence of the tailored track to an individual or small business for $0.99 or $21.99 to a larger company. The input of the users can be expressed in other forms, like AI Duet, the music service launched by Google, getting people to play some… More

The secret recipe of hit songs

Hit Song Science(HSS) is an emerging field that aims at predicting the commercial success of songs before they are released on the market. The term is coined by Mike McCready, an American entrepreneur in the music industry. He founded the Barcelona-based music analysis company Polyphonic HMI formerly,  pioneering the use of an artificial intelligence tool to create significant value for music businesses. In 2003, the exploit of Hit Song Science was unveiled by Polyphonic HMI, they correctly predicted the success of Norah Jones’ debut album Come Away with Me months before it topped the charts, through the software that predicting the hit potential of music based on mathematical analysis of… More

From Automation to Creation

The fears of the likelihood that technologies probably take human’s jobs and spark off mass unemployment are not a new idea (Anslow, 2016), it can be traced to the 18th century, which grew over the impact of machinery on jobs, especially in Great Britain as the pioneer of the Industrial Revolution. While automation technologies, which was defined as a process or procedure that performing without human assistance, can improve the speed, quality, and cost of available goods and services, they may also replace large-scale human labours (Mikell, 2003). The same fear has been persistent, the phenomenon was popularised as the term “technological unemployment” by the economist John Maynard… More


Under the influence of automation and artificial intelligence(AI), it would be the tendency that more and more human routine jobs replaced by the machine. In the past, we always regarded the creative and innovative job as something irreplaceable since it highly related to inspiration, emotion and originality from the human spirit. Now with the acceleration of technological revolution, the machine is getting advanced in the creative process, and it is the timing to rethink the critical role AI play in the creative process, while it provides the counselling service, and even generated their own piece of work. In this project, I attempt to research the… More

FMP Proposal Update

Chapter outlines and bibliography Introduction (starting point, inspiration, study field) Relationship Prediction (contextual research) 2.1 Dataclysm: what our online lives tell us about our offline selves 2.2 Affective Forecasting: the possibility of emotion prediction 2.3 Love Lab: what makes love last Disillusion Forecasting (my opinion) 3.1 Expectations in Relationship 3.2 Facing Imperfection 3.3 Imperfect perfection? Conclusion Research question If we have more understanding of human nature, will the human emotions be more predictable? Will predictions of future emotions assist us with better determination? Once the result of predictions do not satisfy our anticipations, how do we face… More

Disillusion forecast: can big data prediction help us to face the imperfect reality?

Field of Study In the age of big data, wearable devices, medical records and browsing history are stored and analysed in every moment, data scientists attempt to predict our health conditions, personal preference, shopping behaviour and even emotion. The deluge of data not only for more business opportunities, this information helps us explore human experience and behaviour out of unconscious(C. Rudder, 2014). If we have more understanding of human nature, will the human emotions be more predictable? With big data, it might be the best opportunity to think of affective forecasting (Wilson, T., & Gilbert, D. 2003), will predictions of future emotions assist… More


Research Problem: Digital Data After We Die Execution Duration: 6 months Field of Study: The specific area you will research, the discipline your project exists within.  [2 weeks] – Find the themes/burning issues and related specific area, describe why they are important. – Develop the mind map of the themes/burning issues, connect to the wider context. Literature Review(Contextual Research): For context currently out there [4 weeks] – Summarise the current knowledge of research in this defined area. – Compare, contrast and relate different theories and practices. – Historical context(before) and contemporary context(now). – Explain your intention, what you… More