Alternative Montaigne-like Article Title: "That the Meek Will Stand United for Only as Long as it Behooves Their Aims"
Today, the world of AI ethics is a harmonious ecosystem of organizations with uncontroversial and reasonable, respectable aims.
The International Energy Agency’s latest annual gas market report, Gas 2018, estimated that global gas demand could reach more than 4,100 billion cubic meters (bcm) in 2023. This is an increase from 3,740 bcm in 2017. Greater gas demands mean more oil rigs, and the machines on these rigs break down.
Customer data is essential for insurance firms to stay competitive in the coming decade. Insurance companies at present have backlogs of data on past and existing customers in the form of policy agreements, applications, and claims forms. They’ve also collected millions of images showing car damage, property damage, and personal injuries.
There are many possibilities for automation in the healthcare industry outside of AI. Robotic process automation (RPA) technology can serve healthcare companies with various use cases involving data transfer and clinical documentation. Moving important information from the business’ frontend to their deeper business processes is among the most common use cases for RPA in healthcare, and many other solutions emerge from this idea.
The idea of using artificial intelligence (AI) in the military scares many people in the US, especially when it comes to the Army. The US Army typically operates on the ground, and so it may be uncomfortably closer to home for some people.
In 2016 and 2017 I spoke with dozens of venture capitalists, many of whom have a specific and overt focus on artificial intelligence technologies. I wanted to know what made an AI company worth investing in, and what business models were generally the most appealing for investment.
It isn't surprising that many Google search results for "artificial intelligence for government surveillance" involve China. The consensus is that China is either catching up or overtaking the US in AI research, and it's quite open about using AI for government surveillance of its own people.
AI software for corporate banks is not too different from those for retail banks, although their data requirements and intentions for the software will differ. AI vendors currently selling to banks typically have clients covering all types of banking, but few specify any of their solutions to be for corporate banking specifically. Instead, they market themselves across the entire industry and give corporate banking details where appropriate.
Deepfakes have made their way onto the radar of much of the First World.
As with many technology phenomena, deepfakes have their origins in pornography editing (the Reddit page that originally popularized deepfakes was banned in early 2018).
In April of this year, I was asked by UNICRI (the crime and justice wing of the UN) to present the risks and opportunities of deepfakes and programmatically generated content at United Nations headquarters for a convening titled: Artificial Intelligence and Robotics: Reshaping the Future of Crime, Terrorism, and Security.
Instead of speaking about the topic, we decided it would be better to showcase the technology to the UN, IGO, and law enforcement leaders attending the event. So we took a video of UNICRI Director Ms. Bettina Tucci Bartsiotas, and created a deepfake, altering her words and statements by using a model of her face on another person.
This project involved a tight time schedule, very little budget for the project, and only one minute of data. Programmatically generating video and voice with open-source technology isn’t easy with these limitations, but the video came out reasonably well all things considered. After the initial demo is a breakdown of the broader concerns of programmatically generated content, which will be the focus for the bulk of this essay: