Artificial intelligence (AI) systems employ learning algorithms that adapt to their users and environment, with learning either pre-trained or allowed to adapt during deployment. Because AI can optimize its behavior, a unit's factory model behavior can diverge after release, often at the perceived expense of safety, reliability, and human controllability. Since the Industrial Revolution, trust has ultimately resided in regulatory systems set up by governments and standards bodies. Research into human interactions with autonomous machines demonstrates a shift in the locus of trust: we must trust non-deterministic systems such as AI to self-regulate, albeit within boundaries. This radical shift is one of the biggest issues facing the deployment of AI in the European region.

The emergence of digital technologies has been driving transformative changes across all industries, and the European Region has been no exception. Germany is all likely to be at the center of the region's new initiatives towards research and development with respect to artificial intelligence. FREMONT, CA: Central to these overall changes in the society and economy is artificial intelligence (AI) which has come to the forefront owing to enhanced processing power, and algorithms besides the tremendous increase in the quantity of data being generated everywhere. The potential of AI as a technology to function in such a way to transform the way we carry out businesses is undoubtedly proven. The technology can drive new possibilities for responding faster to customer requirements, besides market conditions paving the way for enterprises across various sectors to drive profits, increase revenue, and stay competitive.