Algorithms are increasingly making choices for young people, from recommending new TV shows to the friends they meet. But when machines are so intelligent that they can make all these decisions, who is actually responsible? Andrea Catherwood hosts a debate at the BBC Blue Room annual conference with Anne Longfield, Children's Commissioner for England, Dr Nejra van Zalk, lecturer in psychology at Imperial College London, Hanna Adan, documentary maker and Neil Lawrence, DeepMind Professor of Machine Learning at the University of Cambridge.

While several traditional banks are testing artificial intelligence, BNY Mellon says it's going further than most, committing to the technology by involving …

AI is poised to have an increasing influence on the way companies create new content, paving the way for new forms of human-machine collaboration. AI is maturing at varying rates around the world, with some organizations using these technologies--including machine learning, deep learning, natural language processing, and computer vision--to support external and internal organizational capabilities. For media and entertainment companies and other content producers in particular, AI may also offer a startling range of possibilities for the creative process, enabling individuals and businesses to generate new content with minimized human input. In a global analysis based on Deloitte's most recent State of AI in the Enterprise survey, early adopters were asked to identify the primary benefits of implementing AI in their organizations.¹ Respondents say using AI to enhance existing products and services is their most sought-after externally focused benefit, with 43% ranking it in their top three, while 31% prioritize using it to optimize external processes. The top internally focused benefit, meanwhile, is optimizing business operations, with 41% placing it among their top three choices, followed by using AI to make better decisions, cited by 34% of respondents.

Safety Force Field (SFF) vehicle software is designed specifically for collision avoidance. It acts as an independent supervisor on the actions of the vehicle's primary planning and control system, which could be either human-driven or autonomous. Specifically, SFF performs real-time double-checks of the controls that were chosen by the primary system. If SFF deems the controls to be unsafe, it will veto and correct the primary system's decision. SFF is provably safe, in the sense that, if all road participants comply with SFF and the perception and vehicle controls are within expected design margins, then it can be mathematically proven that no collisions can occur.

And at Dataiku, we believe that having a global transparency and understanding into who data scientists really are, what they do, and what role they have to play in the future will help steer a more positive and productive path for the AI revolution." Dataiku will be hosting several premiere events globally, bringing the film to major cities across the world including New York, London, Amsterdam, Sydney, and Paris. Exclusive screenings will also be held at corporate offices for companies as a whole or data science teams. To view the trailer, get the full press kit, apply to host a screening, attend a premiere, or for further information about the film, please visit https://www.datascience.movie/ Dataiku is the centralized data platform that democratizes the use of data science, machine learning, and AI in the enterprise. With Dataiku, businesses are uniquely empowered to move along their data journey from data preparation to analytics at scale to Enterprise AI. By providing a common ground for data experts and explorers, a repository of best practices, shortcuts to machine learning and AI deployment/management, and a centralized, controlled environment, Dataiku is the catalyst for data-powered companies.

Fox News Flash top headlines for Oct. 15 are here. Check out what's clicking on Foxnews.com Businessman and 2020 hopeful Andrew Yang had a blunt assessment of the way Microsoft's commercial search engine has performed. During Tuesday's Democratic debate, Yang knocked the company while discussing Sen. Elizabeth Warren's plan to break up big tech firms like Facebook. Warren, D-Mass., has pushed for more competition in the industry but Yang indicated that wasn't always necessary.

In this episode, we hear from diverse set of panelists on how to approach the concept of changing the way companies think about machine learning.

Thankfully, AI, powered by Machine Learning and evaluated and fine-tuned by humans, has come a long way in the last decade.

As adoption of RPA takes hold across enterprises, customers are pushing for new capabilities to broaden out the usefulness of software robots to support all workers in all roles. Customers are beginning to look beyond pure automation to also use software robots as digital assistants. Making it easier to plan for and build robots, create human-machine interfaces to interact with their robots, leverage AI to for automation and to help with decision-making, and measure performance of the emerging digital workforce are all necessary to satisfy the expansive vision of RPA.