TechCrunch reports on a new $27 million fund designed to promote research into artificial intelligence in the public interest. The Ethics and Governance of Artificial Intelligence Fund aims to support a "cross-section of AI ethics and governance projects and activities" in the U.S. and around the world. Meanwhile a supplementary paper from the World Economic Forum -- which just released its Global Risks Report 2017 -- raises concerns about weaponized AI, cyberattacks through internet-of-things devices, and the use of biotechnology. Researchers from Oxford University have released a report detailing how the General Data Protection Regulation could heavily impact the rollout of AI and machine learning. Separately, the European Parliament's Legal Affairs Committee has urged the European Commission to create rules around the ethical use and liability of robotics.
Leaders at companies and governmental organizations around the world have accurately identified that artificial intelligence (AI) ethics issues can cause concern. In June 2018, Google CEO Sundar Pichai posted seven objectives for AI applications, which included statements that asserted that "we believe AI should avoid creating or reinforcing unfair bias" and "we believe AI should be accountable to people." Several companies, including Microsoft, Amazon, Intel, Apple, and others, have joined the Partnership on AI. The MIT Media Lab and Harvard Berkman-Klein Center for Internet and Society launched the Ethics and Governance of Artificial Intelligence Initiative in 2017. Facebook backed a new Institute for Ethics in Artificial Intelligence at the Technical University of Munich in early 2019.
Technology is inherently about humans, and it is perilous to ignore social and psychological impact while creating tech. As engineers we must be aware of the unintended consequences of the technology we create. With the advent of automotive AI and recent impact of social media platforms on elections, Ethics in AI has become one of the major areas of research.Few important (but not limited to) questions in Ethical AI are Algorithmic Bias: ML algorithms trained on biased data reinforce that bias into results and recommendations. Governance in AI:, What are the Labor and Regulation laws relating to automation and robots.[ReadMore] Generative AI: Images and Videos now created by Algorithms (GANs) are virtually indistinguishable from real ones.This is leading to widespread fake news dissemination.Checkout this popular video where Barack Obama is speaking words he has never uttered in real life Fast.ai
Cécile Wendling also led a roundtable on governance tools for responsible AI during the conference organized by Impact AI on AXA's Java site on January 25, 2019. Artificial intelligence will impact insurance in several ways. First of all, it can help change the way insurance companies interact with customers and improve the customer experience. Take the example of damage occurring overnight during a major disaster. At a time when a traditional call center may be closed or busy, we can now imagine customers contacting a chat bot or voice bot to get instructions on the first steps to take in case of damage.
Speaking at a Thomson Reuters Newsmakers event, Randell said principle-based regulations and a center for data ethics may be on the horizon to maintain the UK's leadership role in innovation and ethics. "The UK already has a trusted legal and regulatory system and contributes to setting global standards of corporate governance and business ethics. We need to contribute to new standards for data efforts too.