Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Pope Francis is taking his call for artificial intelligence to be developed and used according to ethical lines to the Group of 7 industrialized nations. Italian Prime Minister Giorgia Meloni announced Friday that Francis had accepted her invitation to attend the G7 Summit in Puglia in June. The Vatican confirmed the news.

Artificial intelligence is proving its worth across all industries. Many businesses are adopting this technology to streamline operations and improve both employee and customer experience, however, there are concerns around the ethics of AI as the technology relies on the programmer in the training stage. AI has the potential to either completely redefine the way businesses work with data – delivering hyper-relevant predictive and prescriptive models and business insights – or fall into a loop of self-propagating bias. In his keynote session, 'Doing AI, Ethically' at BizClik Media Groups' TECH LONDON LIVE from the Tobacco Dock in London, Deepak Paramanand, Executive Director of AI Research and Product Management at JP Morgan joined us to share his insights on ethical AI, how to do it correctly and how different solutions are appropriate for different organisations and AI algorithms.

AI-generated output can't be explained. This is all true, and is happening today, and there's a risk of these issues accelerating as AI adoption grows. Before the lawsuits start flowing and government regulators start cracking down, organizations using AI need to become more proactive and formulate actionable AI ethics policies. But an effective AI ethics policy requires more than some feel-good statements. It requires actions, built into an AI ethics-aware culture.

A Turing Test for Ethical Artificial Intelligence ("AI") Initially called "The Imitation Game," one version of the test imagines that a human evaluator communicates in writing with a human participant and a computer designed to emulate human language and responses. Encouraged by the power and possibility of natural-language programs and self-learning algorithms, technologists and ethicists have begun exploring whether machines might pass an Ethical Imitation Game -- whether they can convincingly imitate the empathy necessary for ethical deliberation and decision making. It is an axiom of Systems Analysis that the meaning of a system lies outside the system. Analogously, programs written to simulate empathy successfully will represent synthetic sociopaths, faking empathy to further the ends of their programmers. Those pursuing ethical AI might therefore want to ask themselves not What they seek, nor How they might attain it, but Why they want programs to simulate empathy.

Ethical artificial intelligence (AI) focuses on values, principles, and techniques that promote moral conduct and regulatory framework, which benefit humanity as a whole. It also prevents the malicious use of AI technology in deepening inequalities and divides. A roadmap to trusting artificial intelligence (AI) is important. Lack of trust is why many companies have not adopted AI into their business frameworks. The fear of the unknown runs deep – just as I felt on Vatnajökull – and the unknown behind technology is oftentimes immense, teeming with frightening possibilities.

At the end of last month, a set of principles and advice on ethics in the use of Artificial Intelligence (AI) was known, adopted for the first time jointly and unanimously by the 193 member states of the General Council of the UNESCO. Beyond the uniqueness of its universal character, it is about Unesco launched a guide to improve the relationship between humans and robots and combines ethical issues to a warning voice that has been heard for a long time. There are already several international political organizations that have been warning about the need to provide an ethical component to what is undoubtedly the most notable advance in applied science of our time. In fact, in November but from '19 the European Union (EU) had published its Ethical Guidelines for a reliable artificial intelligence whose proposal revolves around the collateral effects, or unforeseen risks, that the implementation of disruptive technologies like this can generate. Likewise, in April of this year we learned about the European Commission regulation regarding the use of algorithms able to learn and make decisions.

Some of the world's biggest organizations, from the United Nations to Google to the U.S. Defense Department, proudly proclaim their bona fides when it comes to their ethical use of artificial intelligence. But for many other organizations, talking the talk is the easy part. A new report by a pair of Northeastern researchers discusses how articulating values, ethical concepts, and principles is just the first step in addressing AI and data ethics challenges. The harder work is moving from vague, abstract promises to substantive commitments that are action-guiding and measurable. "You see case after case where a company has these mission statements that they fail to live up to," says John Basl, an associate professor of philosophy and a co-author of the report.

Do you have some anxiety about Artificial Intelligence (AI) bias or related issues? Nearly all business leaders surveyed for Deloitte's third State of AI in the Enterprise report expressed concerns around the ethical risks of their AI initiatives. There is certainly some cause for uneasiness. Nine out of ten respondents to a late 2020 Capgemini Research Institute survey were aware of at least one instance where an AI system had resulted in ethical issues for their businesses. Nearly two-thirds have experienced the issue of discriminatory bias with AI systems, six out of ten indicated their organizations had attracted legal scrutiny as a result of AI applications, and 22 percent have said they suffered customer backlash because of these decisions reached by AI systems.

While artificial intelligence (AI) has the potential to revolutionize a number of industries, the technology isn't without its controversies. Over the past few years, researchers and developers have raised concerns around the potential impacts of widespread AI adoption--and how a lack of existing ethical frameworks may put consumers at risk. These concerns may be especially relevant to medical device manufacturers, which are increasingly using AI in new medical devices like smart monitors and health wearables. New standards and regulations on ethical AI may provide essential guidance for medical device manufacturers interested in leveraging AI. The widespread use of AI could pose a number of ethical challenges.

Artificial intelligence (AI) is doing what the tech-world Cassandras have been predicting for some time: It is sending out curve balls, leaving a trail of misadventures and tricky questions around the ethics of using synthetic intelligence. Sometimes, spotting and understanding the dilemmas AI presents is easy, but often it is difficult to pin down the exact nature of the ethical questions it raises. We need to heighten our awareness around the changes that AI demands in our thinking. If we don't, AI will trigger embarrassing situations, erode reputations and damage businesses. Two years ago, Amazon abandoned the AI tool it used to recruit employees.