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
Data, data everywhere – but will it make our lives better, or put us at risk? In recent months it has become clear that while the opportunities presented by ever-growing data are abundant, so too are the threats. That's why we need better governance – a set of guiding principles as to how this new technology is used and developed – not least because misuse threatens to turn the public against such innovations.