A recent policy report by the Manchester Institute of Innovation Research highlighted how the creation of new AI technology is regularly subject to bias. Additionally, it maintained that a lot more ought to be done by policymakers in a bid to make sure that the development of artificial intelligence is not only democratic but also socially responsible.
In the report dubbed “On AI and Robotics: Developing Policy for the Fourth Industrial Revolution”, Dr Barbara Ribeiro of the institute emphasized the importance of maintaining social justice in the development of artificial intelligence (AI). She also asserted that artificial intelligence technologies depend on the use of algorithms and big data, which help in influencing the making of decisions regarding public life, particularly on issues such as urban planning, public safety and social welfare.
Ribiero called for policymakers to ensure that the advantages of artificial intelligence (AI) are evenly distributed across society since taxpayers would be involved in financing the investment in such technologies. She further said that some social groups might be excluded in the data-powered decision-making activities. Ribiero argued that the reason could be either due to inadequate access to devices needed to participate or the failure of the picked datasets to consider interests, needs and preferences of disadvantaged and marginalized individuals.
The study by the Manchester Institute of Innovation Research was designed to assist policymakers, regulators and employers in understanding the potential effects of artificial intelligence (AI) in certain areas like research, international policy and healthcare. In addition, the report focuses on robotics, analyzing the similarities and differences between the two distinct fields of research and development and the obstacles that policymakers experience with each.
The co-director of the team behind the Manchester Institute of Innovation Research’s policy, Professor Anna Scaife, said that even though the problems that policymakers and companies are experiencing concerning robotic and AI systems are alike in numerous ways, the two are completely different technologies. She stressed her point by saying that this fact is commonly misunderstood not only by the public but also both the employers and policymakers. Moreover, Anna closed her remarks by stating that this issue had to be addressed to eliminate the confusion.
Barry Lennox, the head of the UOM Robotics Group, and a renowned professor of Applied Control, also claimed that the transfer of robotics technology into industry, for instance, the nuclear industry would require societal and cultural changes as well as technological improvements. He further emphasized the importance of regulators to be informed about what robotics technology entails and what it cannot do currently, as well as knowing what the technology is likely to accomplish throughout the next five years.
The Manchester Institute of Innovation Research‘s report also hinted about the significance of artificial intelligence and big data in healthcare, for instance in combating antimicrobial resistance (AMR). With artificial intelligence and robotics proving to be naturally versatile, many experts in these fields are convinced that both technologies will have a considerable impact on a wide array of fields in the future.