Artificial intelligence (AI) is set to upend nearly every industry. It's a technology that will deliver astronomical gains in productivity, dramatic cost reductions, and tremendous advances in research and development. With AI set to increase global GDP by more than $15.7 trillion by 2030, it can be easy to assume that the technology can be nothing but an unfettered good. That would be a dangerous mistake. AI, like any technology, can have detrimental personal, societal, and economic effects: some common concerns include the fact it provides tools that can be exploited by criminals to compromise the cyber security of individuals and organisations, or that the predictive abilities of AI raise a swathe of privacy concerns.
"What in the name of Paypal and/or Palantir did you just say about me, you filthy degenerate? I'll have you know I'm the Crown Prince of Silicon Valley, and I've been involved in numerous successful tech startups, and I have over $1B in liquid funds. I've used that money to promote heterodox positions on human enhancement, control political arenas, and am experimenting with mind uploading. I'm also trained in classical philosophy and was recently ranked the most influential libertarian in the world by Google. You are nothing to me but just another alternative future. I will wipe you out with a precision of simulation the likes of which has never been seen before, mark my words."
Picking the right tech vendors for your small or medium-sized business can be hard, especially with the cloud and everything-as-a-service providers giving you access to enterprise-level IT. ZDNet helps SMBs build a technology stack that promotes innovation and enables growth. DocuSign is launching DocuSign Analyzer, an artificial intelligence service, that aims to speed up contract negotiations, save billable legal hours and get better terms. The product, part of DocuSign's Agreement Cloud, uses AI to give legal and procurement teams insights about risks and opportunities. DocuSign Analyzer is also designed to spot errors and anomalies that can hamper deals.
OpenAI's new immensely convincing language generator, GPT-3, recently demonstrated its rhetorical prowess when it argued the case for why it's harmless. Now, research scientist Janelle Shane has used the tool to generate something a bit more lighthearted. Namely, ideas on how to make nuclear waste sites safe for thousands upon thousands of years. Are you not terrified and repulsed?? I prompted GPT-3 with some human proposals for marking a nuclear waste site, in a way that will still be forbidding millennia from now.https://t.co/3v8uPJ98mo
Yahoo Japan Corp. and two other companies opened a website Wednesday to seek information on wanted fugitives, with artificial intelligence-generated images showing how they could look now. The website, called Tehai, was established by Yahoo Japan, digital marketing business Dentsu Digital Inc. and Party, which creates images of wanted fugitives, in cooperation with the National Police Agency. On Tehai, nine types of images are posted showing how suspects put on wanted lists long ago could look now. The images are created with AI programs that studied vast amounts of facial photo data. The AI-based images take into account how the appearances of fugitives might have changed from those in their old pictures used in conventional posters seeking information about them.
Artificial intelligence has become a general-purpose technology. Not confined to futuristic applications such as self-driving vehicles, it powers the apps we use daily, from navigation with Google Maps to check deposits from our mobile banking app. It even manages the spam filters in our inbox. These are all-powerful, albeit functional roles. What's perhaps more exciting is AI's growing potential in sourcing and producing new creations and ideas, from writing news articles to discovering new drugs -- in some cases, far quicker than teams of human scientists.
On 23 September 2020, the Committee of Ministers approved the progress report of the Ad hoc Committee on Artificial Intelligence (CAHAI), which sets out the work undertaken and progress towards the fulfilment of the committee's mandate since it was established on 11 September 2019. The progress report sets out a clear roadmap for action towards a Council of Europe legal instrument based on human rights, the rule of law and democracy. Its clear relevance has also been confirmed and reinforced by the recent COVID-19 pandemic. The preliminary feasibility study, providing indications on the legal framework on the design, development of artificial intelligence based on Council of Europe's standards is expected to be examined by the CAHAI at its forthcoming third plenary meeting in December 2020.
The Alfred Landecker Foundation has announced its support for an initiative that will aim to combat the spread of antisemitism and hatred online by using artificial intelligence (AI). Titled "Decoding Antisemitism," the project was financially backed by the Foundation, which donated an additional 3 million Euros to the budget. By supporting the project, the Foundation is joining forces with the Center for Research on Antisemitism at the Technical University of Berlin, King's College London and other renowned scientific institutions in Europe and Israel. The international team, comprised of discourse analysts, computational linguists and historians, is currently focusing its efforts on developing an AI-driven approach to identifying online antisemitism, a feat that may be harder to achieve than expected. Studies have shown that the majority of antisemitic defamation is expressed in implicit ways – through the use of codes for instance ("juice" instead of "Jews") and allusions to certain conspiracy narratives or the reproduction of stereotypes through images.
Artificial intelligence (AI) and machine learning technologies are becoming increasingly incorporated into consumer products and enterprise solutions alike. As AI applications quickly advance into large-scale and more diverse use cases, it's becoming imperative that ethics guide its development, deployment and applications. This is especially important as we increasingly apply AI to use cases that impact individual lives and livelihoods -- including healthcare, criminal justice, public welfare and education. It's clear that to continue the widespread adoption of AI on both a consumer and enterprise level -- and subsequently spur continued innovation in the technology -- AI technologies and applications need to be trustworthy and transparent. Survey after survey have revealed substantial consumer mistrust of AI technologies.
Many people are aware of AI or Artificial Intelligence and its meaning, especially in the way that it is often portrayed through movies. These movies are often exciting and captivate our imaginations. Machine learning, while similar to AI, is defined differently. A way to explain this in layman's terms is that AI is the breadth of knowledge contained and used by a system, while machine learning is the algorithms or processes in which the system gains the knowledge and assimilates it for future use. In human terms, AI would be all the information and knowledge you already have, while machine learning would be likened unto the steps you choose to acquire that knowledge, such as reading, observing, studying, or even making mistakes.