Artificial Intelligence (AI) has its early origins in the late 1950s as a scientific discipline that aimed to simulate different forms of intelligence using machines. Since then the term AI has been equally used by tech journalists, computer scientists, new media artists, investors, politicians and science fiction writers to refer in multiple ways to a fascinating speculation: that cognitive functions as learning, reasoning, perception or even creativity can be described and modeled with such accuracy that it would be possible to reproduce them using computers.
For the last 10 years, the exponential growth of planetary-scale data collection technologies, computational power and a data-driven media culture have enabled a wide range of successful applications of AI systems in areas such as natural language comprehension or image and speech recognition, accelerating the adoption of these systems across industries for automation of process, tasks and decisions at unprecedented scales, giving rise to crucial and interrelated ethical, societal and environmental challenges in public and private sectors, that we will explore deeper in Elisava’s new Master in Design for Responsible AI.
In recent years, different research institutions, governments and private companies around the globe, have developed robust research projects to design principles, guidelines, methodologies and tools for ethical, accountable and trustworthy AI systems and practices, often referred to as the emerging field of ‘Responsible AI’.
Responsible AI practices aim to understand AI as socio-technical systems to study the different impacts they have in society and the Planet, while designing theories, frameworks, methods and other tools for an ethical, legal, and sustainable development, deployment, governance and usage of AI systems.
What jobs can you get with a masters in design for responsible artificial intelligence?
The widespread implementation and scale of AI systems in society, is feeding an increasing need for professionals who can think broadly and critically while communicating clearly about AI, automated decision-making and its ethical, environmental, cultural and societal implications, both within the tech companies developing those systems and across the private and public sectors.
As a specialist in Design for Responsible/Trustworthy AI or digital ethics specialist, graduates will be equipped and well-placed to advance their careers in the tech sector, as well as in its intersection with areas such as media, consultancy, policy-making, public innovation, financial services or sustainability.