Cyber Security

Responsible AI: Balancing AI’s Potential with Trusted Use

Companies must adopt responsible methodologies in order to ensure their algorithms and applications are fair and trustworthy.

Coypright by www.rtinsights.com

SwissCognitive, AI, Artificial Intelligence, Bots, CDO, CIO, CI, Cognitive Computing, Deep Learning, IoT, Machine Learning, NLP, Robot, Virtual reality, learningThe “future of work” went from theory to practice almost overnight in 2020, but our new reality is still evolving. Undoubtedly, will be important in enabling what’s next. The possibilities for enhancing human ability are vast. The level of responsibility for its use is just as big. To get the most out of ’s potential, we need to reach a balance. What’s needed is responsible .

We see as the application of advanced analytical techniques, such as and , combined with automation to solve problems, develop personalized products and services and seize new opportunities in new ways. It promises to transform business and society by helping us make better decisions, reducing the risk of human error, and generating efficiencies.

Still, human oversight and empathetic decision-making are still essential. Hence we can state that there is no more powerful system than the combination of technology and with human power.

Responsible

As will be a core part of the digital societies of the near future, businesses must weigh the opportunity to maximize the technology while considering the broader effects on customers, employees, and society. must be designed with data privacy, security, and the fundamental rights of end-users in mind. While benefiting from such data for insight, any so-informed decisions should be fair and free of harmful bias. […]

Read more: www.rtinsights.com