As the development and adoption of artificial intelligence (AI) continues at a rapid pace and more companies invest in AI solutions, NICE has announced its Robo-Ethical framework.
According to the company, the framework is designed to promote accountability and transparency in the design, creation and deployment of AI-powered robots.
NICE’s ethical guidelines set a standard for the design, construction and deployment of robots, and form the basis for strong and ethical human and robotics collaboration, the company says.
Comprised of a set of five guiding principles, NICE’s robo-ethics framework underpins every interaction with process robots, from planning to implementation.
The launch of the framework reiterates the company’s commitment to these standards and invites industry-wide adoption, the company says.
According to NICE, there has been a lot of talk on the subject in the robotics industry, but steps to formalize guidelines at the industry level have yet to be taken.
By introducing the first set of industry standards to self-manage the creation of responsible AI-based robotics, NICE is committed to ensuring the seamless design, development and implementation of process automations, such as this is already inherent in its robotic platform automation (RPA) platform.
Rooted in the capabilities of its products, NICE’s ethical framework is shared with each customer with their robotics license. While the ultimate determination of what is good for humanity is subjective and rooted in context, NICE says the company aims to keep the importance of ensuring a positive impact in RPA at the top of the list in the world. industry.
The five guiding principles for ensuring good ethical standards, which underpin the robot-human relationship in the workplace, are:
Robots must be designed for a positive impact: Robots must be built to contribute to the growth and well-being of the human workforce. Taking into account the societal, economic and environmental impacts, each project involving robots must have at least one clearly defined positive justification.
Robotics without bias: Personal attributes such as color, religion, gender, gender, age, and other protected statuses are eliminated when creating robots, so their behavior is independent of employees. Training algorithms are evaluated and tested periodically to ensure that they are free from bias.
Robots must protect individuals: Particular attention is paid to deciding if and how to delegate decisions to robots. The algorithms, processes and decisions built into robots must be transparent, with the ability to explain conclusions with unambiguous justification.
As a result, humans must be able to audit a robot’s processes and decisions and have the ability to intervene and fix the system to prevent potential breaches.
Robots must be driven by reliable data sources: Bots should be designed to act on verified data from trusted sources. The data sources used for the learning algorithms should be kept with the option to reference the original source.
Robots should be designed with holistic governance and control: Humans need to have complete information about the capabilities and limitations of a system. Robotic platforms must be designed to protect against abuse of power and illegal access by limiting, proactively monitoring and authenticating all access to the platform and every type of editing action in the system.
NICE Workforce & Customer Experience Group President Barry Cooper said: “We are at an exciting time in history where, with the support of intelligent AI-driven robots, human workforce can provide a new generation CX that sets the brand apart.
“NICE is proud to take the initiative to ensure the use of robots for the betterment of humanity, articulating the ethical principles that serve as guidelines for the development of our own AI-based innovations and, through this framework, in the field of RPA.
“Our industry’s first ethical robotics framework reflects our commitment to this effort, and we urge industry leaders to join us. “