Manufacturers of products that make use of artificial intelligence are liable for any eventual damage at all times. In an effort to provide users' rights with better protection, the European Commission is tightening the AI Liability Directive. This summer, the new Meta chatbot became the target of scorn. Just days after Blenderbot 3 of Facebook's parent company launched online in the United States, the self-learning program had degenerated into a racist spreader of fake news. The same thing happened in 2016 with the Tay chatbot developed by Microsoft which was designed to engage in conversations with real people on Twitter.

Artificial intelligence evokes hope and anxiety. Will we master it, or will it control us? Kwame A. A Opoku and Tendai Joe think a lot about artificial intelligence -- where it's come from and what lies ahead -- from different perspectives. Opoku is a futurist, global business speaker and founder of the think tank, Idea Factory Africa. Joe is involved in software and mobile application development, and digital publishing.

Last summer, the Dutch national television made a small report on a large organic arable farm on the young sea clay in the province of Flevoland. Men and women were working in organic parsley, which was due to be harvested mechanically the next day. It still had to be manually stripped of weeds, such as polygonum. The question was whether field robots are already capable of taking over this unpleasant and labour-intensive (i.e. The farm's owner shares his thoughts about a robot taking over these chores in his fields in front of the camera.

Despite our previous coverage of some major issues with AI in its current form, people still entrust very important matters to robot assistants. Self-learning systems are already helping judges and doctors make decisions, and they can even predict crimes that have not yet been committed. Yet users of such systems are often in the dark about how the systems reach conclusions. In US courts, AI is deployed in decisions relating to sentencing, preventive measures, and mitigation. After studying the relevant data, the AI system considers if a suspect to be prone to recidivism, and the decision can turn probation into a real sentence, or lead to bail refusal.

Artificial intelligence evokes hope and anxiety. Will we master it, or will it control us? Kwame A. A Opoku and Tendai Joe think a lot about artificial intelligence -- where it's come from and what lies ahead -- from different perspectives. Opoku is a futurist, global business speaker and founder of the think tank, Idea Factory Africa. Joe is involved in software and mobile application development, and digital publishing.

As promising as machine-learning technology is, it can also be susceptible to unintended biases that require careful planning to avoid. This article is part of an MIT SMR initiative exploring how technology is reshaping the practice of management. Many companies are turning to machine learning to review vast amounts of data, from evaluating credit for loan applications, to scanning legal contracts for errors, to looking through employee communications with customers to identify bad conduct. New tools allow developers to build and deploy machine-learning engines more easily than ever: Amazon Web Services Inc. recently launched a "machine learning in a box" offering called SageMaker, which non-engineers can leverage to build sophisticated machine-learning models, and Microsoft Azure's machine-learning platform, Machine Learning Studio, doesn't require coding. But while machine-learning algorithms enable companies to realize new efficiencies, they are as susceptible as any system to the "garbage in, garbage out" syndrome.

Artificial intelligence and logistics is the perfect union for businesses seeking a competitive edge – and a necessary combination for companies hoping to compete in the future. Let's go inside the technology of AI and logistics. First, supply chain management, or SCM, is the process of overseeing the shipping process. Logistics is the portion of SCM concerned with the movement of goods. For many years, technical advances in logistics has lagged behind other industries.

Antwerp (Belgium) – May 16, 2017 – Today, at the imec technology forum (ITF2017), imec, the world-leading research and innovation hub in nano-electronics and digital technologies, demonstrated the world's first self-learning neuromorphic chip. The brain-inspired chip, based on OxRAM technology, has the capability of self-learning and has been demonstrated to have the ability to compose music. The human brain is a dream for computer scientists: it has a huge computing power while consuming only a few tens of Watts. Imec researchers are combining state-of-the-art hardware and software to design chips that feature these desirable characteristics of a self-learning system. Imec's ultimate goal is to design the process technology and building blocks to make artificial intelligence to be energy efficient so that that it can be integrated into sensors.

When the Netflix series House of Cards premiered in 2013, it quickly became the most downloaded content in the company's history – a statistic that came as no surprise to Netflix executives. They had previously examined a vast pool of Netflix data on subscribers' viewing habits and determined that the show was likely to become a hit even before they purchased it. The wisdom behind Netflix's sure-fire choice came from machine learning, which, loosely defined, is the ability of computers to learn on their own (without being programmed) by using algorithms that churn through large quantities of data. Machine learning's talents aren't limited to picking the next TV blockbuster, either. Consider some of the more down-to-earth uses that we already take for granted today.

The European Union is currently considering the need to redefine the legal status of robots, with a draft report last week suggesting that autonomous bots might, in the future, be granted the status of "electronic persons" -- a legal definition that confers certain "rights and obligations." It sounds like science fiction and that's because it is: any engineer will tell you we're a long way from seeing robot marches for civil rights. For a start, this is only a draft report. It's not actual legislation, and is only a series of recommendations for the EU's law-making body -- they could always ignore it completely. And although parts of the report are a bit odd (Frankenstein's monster, the Greek myth of Pygmalion, and the Golem of Prague are all referenced in the first paragraph alone), at its core it's interested in the rights of people, not the rights of robots.