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Robot ethics

Robot ethics, sometimes known by the short expression 'roboethics', concerns ethical problems that occur with robots, such as whether robots pose a threat to humans in the long or short run, whether some uses of robots are problematic (such as in healthcare or as 'killer robots' in war), and how robots should be designed such as they act 'ethically' (this last concern is also called machine ethics).

Researchers from diverse areas are beginning to tackle ethical questions about creating robotic technology and implementing it in societies, in a way that will still ensure the safety of the human race.[2]

The main fields involved in robot ethics are: robotics, computer science, artificial intelligence, philosophy, ethics, theology, biology, physiology, cognitive science, neurosciences, law, sociology, psychology, and industrial design.

One of the first publication directly addressing and setting the foundation for robot ethics was Runaround (story), a science fiction short story written by Isaac Asimov in 1942 which featured his well known Three Laws of Robotics.

Computer scientist Virginia Dignum noted in a March 2018 issue of Ethics and Information Technology that the general societal attitude toward artificial intelligence (AI) has, in the modern era, shifted away from viewing AI as a tool and toward viewing it as an intelligent “team-mate”.

One film that could be argued to be ingrained in pop culture that depicts the dystopian future use of robotic AI is The Matrix, depicting a future where humans and conscious sentient AI struggle for control of planet earth resulting in the destruction of most of the human race.

Another famous pop culture case of robots or AI without programmed ethics or morals is HAL 9000 in the Space Odyssey series, where HAL (a computer with advance AI capabilities who monitors and assists humans on a space station) kills all the humans on board to ensure the success of the assigned mission after his own life is threatened.[19]

The groundwork of their argument lays on the definition of robot as 'non-biological autonomous agents that we think captures the essence of the regulatory and technological challenges that robots present, and which could usefully be the basis of regulation.'

Artificial Intelligence

Artificial intelligence (AI) has become an area of strategic importance and a key driver of economic development.

It is essential to join forces in the European Union to stay at the forefront of this technological revolution, to ensure competitiveness and to shape the conditions for its development and use (ensuring respect of European values).

To support the efforts of the Member States which are responsible for labour and education policies, the Commission will: On 19 February 2020, the European Commission published a White Paper aiming to foster a European ecosystem of excellence and trust in AI and a Report on the safety and liability aspects of AI.

The White Paper proposes: The White Paper will undergo an open public consultation where European citizens, Member States and relevant stakeholders (including civil society, industry and academics) can provide their opinion on the White Paper and contribute to a European approach for AI.

Ensuring that European values are at the heart of creating the right environment of trust for the successful development and use of AI the Commission highlights the key requirements for trustworthy AI in the communication: Aiming to operationalise these requirements, the Guidelines present an assessment list that offers guidance on each requirement's practical implementation.

At the firs AI Alliance Assembly on 26 June 2019 the Commission officially launched the piloting phase of the assessment list involving stakeholders on the widest scale in order to reach consensus on the key requirement ensuring that the guidance can be tested and implemented in practice.

Machine learning denotes the ability of a software/computer to learn from its environment or from a very large set of representative data, enabling systems to adapt their behaviour to changing circumstances or to perform tasks for which they have not been explicitly programmed.

The Boot Camp will explore the impact that Artificial Intelligence (AI) has in the evolving healthcare environment, and overall efforts to improve the quality of care for patients and families.

Analyze clinical and translational AI applications that can reach more diverse patient populations and improve the safety, efficacy, and quality of healthcare. Graduate

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