The world of technology, which often breaks down barriers, can significantly promote more integration of people with disabilities into social and work contexts. In particular, artificial intelligence solutions may allow the removal of accessibility barriers. For those who develop technology, it is essential not only to think about usability but increasingly about accessibility. Especially those who deal with AI have the opportunity to create systems and solutions that can really break down barriers for people with disabilities of various kinds. This opens up an important debate that must involve both the world of technology and all those involved in ethical issues.

Further legislation is being considered around the world that will entitle individuals to request deletion of their data from machine learning systems, while the California Consumer Privacy Act (CCPA) of 2018 already provides this right to state residents. Escalating interest in this pursuit does not need to rely on grass-roots privacy activism: as the machine learning sector commercializes over the next ten years, and nations come under pressure to end the current laissez faire culture over the use of screen scraping for dataset generation, there will be a growing commercial incentive for IP-enforcing organizations (and IP trolls) to decode and review the data that has contributed to proprietary and high-earning classification, inference and generative AI frameworks. The researchers state that this approach was inspired by the biological process of'active forgetting', where the user takes strident action to erase all engram cells for a particular memory by manipulation of a special type of dopamine. Forsaken continuously evokes a mask gradient that replicates this action, with safeguards to slow down or halt this process in order to avoid catastrophic forgetting of non-target data. However, the model has by this time abstracted various features of the deleted data in a'holographic' fashion, in the way (by analogy) that a drop of ink redefines the utility of a glass of water. Further legislation is being considered around the world that will entitle individuals to request deletion of their data from machine learning systems, while the California Consumer Privacy Act (CCPA) of 2018 already provides this right to state residents.

At first glance, a recently granted South African patent relating to a "food container based on fractal geometry" seems fairly mundane. The innovation in question involves interlocking food containers that are easy for robots to grasp and stack. On closer inspection, the patent is anything but mundane. That's because the inventor is not a human being – it is an artificial intelligence (AI) system called DABUS. DABUS (which stands for "device for the autonomous bootstrapping of unified sentience") is an AI system created by Stephen Thaler, a pioneer in the field of AI and programming.

Artificial Intelligence (AI) could pose a threat to lawyers as startups look towards automating various types of legal work. Once thought to be safe from the advancements of modern technology, lawyers’ jobs are now at risk, according to a new research collaboration. The collaboration was used to analyse legal briefs using a branch of AI …

After a busy start to the year, regulatory and policy developments related to Artificial Intelligence and Automated Systems ("AI") have continued apace in the second quarter of 2021. Unlike the comprehensive regulatory framework proposed by the European Union ("EU") in April 2021,[1] more specific regulatory guidelines in the U.S. are still being proposed on an agency-by-agency basis. President Biden has so far sought to amplify the emerging U.S. AI strategy by continuing to grow the national research and monitoring infrastructure kick-started by the 2019 Trump Executive Order[2] and remain focused on innovation and competition with China in transformative innovations like AI, superconductors, and robotics. Most recently, the U.S. Innovation and Competition Act of 2021--sweeping, bipartisan R&D and science-policy legislation--moved rapidly through the Senate. While there has been no major shift away from the previous "hands off" regulatory approach at the federal level, we are closely monitoring efforts by the federal government and enforcers such as the FTC to make fairness and transparency central tenets of U.S. AI policy.

Read 3 articles daily and stand to win ST rewards, including the ST News Tablet worth $398. Artificial intelligence (AI) and concerns about its potential impact on humanity have been with us for more than half a century. The term was coined in 1956 at a Dartmouth College symposium. Please subscribe or log in to continue reading the full article. Join ST's Telegram channel here and get the latest breaking news delivered to you.

A website that uses machine-learning to quickly turn innocuous photos of famous and everyday women into realistic deepfake nudes is racking up howls of outrage--and millions of page views. The year-old site has garnered more than 38 million hits since the start of 2021, The Huffington Post reported, with five million in June alone, according to BBC News. HuffPo declined to name the website, but the BBC identified it as Deepsukebe, with both outlets referring to language on the site claiming its mission is to'make all men's dreams come true.' On its now-suspended Twitter page, Deepsukebe referred to itself as an'AI-leveraged nudifier.' It claims it doesn't save the fake photos it generates, but an'incentive program' rewards posters who share links of their deepfakes. Users who get enough people to click on them can'nudify' more pictures faster.

At first glance, a recently granted South African patent relating to a food container based on fractal geometry seems fairly mundane. The innovation in question involves interlocking food containers that are easy for robots to grasp and stack. On closer inspection, the patent is anything but mundane. That's because the inventor is not a human being -- it is an artificial intelligence (AI) system called DABUS. DABUS (which stands for device for the autonomous bootstrapping of unified sentience) is an AI system created by Stephen Thaler, a pioneer in the field of AI and programming.

Removing a particular piece of data that contributed to a machine learning model is like trying to remove the second spoonful of sugar from a cup of coffee. The data, by this time, has already become intrinsically linked to many other neurons inside the model. If a data point represents'defining' data that was involved in the earliest, high-dimensional part of the training, then removing it can radically redefine how the model functions, or even require that it be re-trained at some expenditure of time and money. Nonetheless, in Europe at least, Article 17 of the General Data Protection Regulation Act (GDPR) requires that companies remove such user data on request. Since the act was formulated on the understanding that this erasure would be no more than a database'drop' query, the legislation destined to emerge from the Draft EU Artificial Intelligence Act will effectively copy and paste the spirit of GDPR into laws that apply to trained AI systems rather than tabular data.

Artificial Intelligence is, without a doubt, one of the Fourth Industrial Revolution's primary growth engines. The benefits and business potential inherent in this technology are immense. Improving customer experience, automating business processes, real-time information analysis, improving cyber protection capabilities, and implementing autonomous applications are just a few examples of these benefits. However, and similarly to other types of new and groundbreaking technologies, we must consider the latent risks in implementing Artificial Intelligence in an uncontrolled manner. Considering such risks is evidently even more urgent as Artificial Intelligence has now become so vastly used that it affects every aspect of our personal and professional life and used in scale, in large sectors of the economy.