This chapter covers
- The ethics of generative models
- Three recent improvements that we expect to be dominant in the years to come:
- Relativistic GAN (RGAN)
- Self-Attention GAN (SAGAN)
- BigGAN
- Further reading for three more cutting-edge techniques
- A summary of the key themes and takeaways from this book
In this final chapter, we want to give you a brief overview of our thoughts about the ethics of GANs. Then we will talk about some important innovations that we expect to be even more important in the future. This chapter includes high-level ideas that we expect to define the future of GANs, but it does not feature any code. We want you to be prepared for the GANtastic journey ahead—even for advances that are yet to be published at the time of writing. Lastly, we will wrap up and say our teary-eyed goodbyes.
The world is beginning to realize that AI ethics—GANs included—is an important issue. Some institutions have decided to not release their expensive, pretrained models for fear of misuse as a tool for generating fake news.[1] Numerous articles describe the ways in which GANs specifically may have potential malicious uses.[2]
1 See “An AI That Writes Convincing Prose Risks Mass-Producing Fake News,” by Will Knight, MIT Technology Review, 2019, http://mng.bz/RPGj.