For those of you who have been following my work, it should come as no surprise that I have an ambivalent view of technology.
Technology is arguably the predominant reason that we live safer, longer, and healthier than ever before, particularly when we include medical technology – sanitation, antibiotics, vaccines – and communication technologies – satellites, the internet, and smartphones. It has immense potential, and it has been the driving force for innovation and development for centuries.
But it has a dark side. Technology, once a strong democratizing force, now drives more inequality. It allows governments and corporations to spy on citizens on a level that would make Orwell's worst nightmares look like child's play. It could lead to a collapse of the economic system as we know it, unless we find, discuss, and test new solutions.
To a certain extent, this is already happening, albeit not in a uniformly distributed fashion. If we consider a longer timeframe – perhaps a few decades – things could get far more worrisome. I think it's worth thinking and preparing sooner, rather than despair once it's too late.
Many distinguished scientists, researchers, and entrepreneurs have expressed such concerns for almost a century. On January 2015 dozens, including Stephen Hawking and Elon Musk, signed an Open Letter, calling for concrete research on how to prevent certain potential pitfalls, noting that, "artificial intelligence has the potential to eradicate disease and poverty, but researchers must not create something which cannot be controlled".
And this is exactly what Roman Yampolskiy and I explored in a paper we recently published, titled Unethical Research: How to Create a Malevolent Artificial Intelligence.
Cybersecurity research involves investigating malicious exploits as well as how to design tools to protect cyber-infrastructure. It is this information exchange between ethical hackers and security experts, which results in a well-balanced cyber-ecosystem. In the blooming domain of AI Safety Engineering, hundreds of papers have been published on different proposals geared at the creation of a safe machine, yet nothing, to our knowledge, has been published on how to design a malevolent machine.
It seemed rather odd to us that virtually all research so far had been focused preventing the accidental and unintended consequences of an AI going rogue – i.e. the paperclip scenario. While this is certainly a possibility, it's also worth considering that someone might deliberately want to create a Malevolent Artificial Intelligence (MAI). If that were the case, who would be most interested in developing it, how would it operate, and what would maximize its chances of survival and ability to strike?
Availability of such information would be of great value particularly to computer scientists, mathematicians, and others who have an interest in AI safety, and who are attempting to avoid the spontaneous emergence or the deliberate creation of a dangerous AI, which can negatively affect human activities and in the worst case cause the complete obliteration of the human species.
This includes the creation of an artificial entity that can outcompete or control humans in any domain, making humankind unnecessary, controllable, or even subject to extinction. Our paper provides some general guidelines for the creation of a malevolent artificial entity, and hints at ways to potentially prevent it, or at the very least to minimize the risk.
We focused on some theoretical yet realistic scenarios, touching on the need for an international oversight board, the risk posed by the existence of non-free software on AI research, and how the legal and economic structure of the United States provides the perfect breeding ground for the creation of a Malevolent Artificial Intelligence.
I hope our paper will inspire more researchers and policymakers to look into these issues.
You can read the full text at: arxiv.org/abs/1605.02817: Unethical Research: How to Create a Malevolent Artificial Intelligence.