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Want Responsible Robotics? Start With Responsible Humans

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"Robots exist in an open world where you can't predict everything that's going to happen. The robot has to have some autonomy in order to act and react in a real situation. It needs to make decisions to protect itself, but it also needs to transfer control to humans when appropriate. You don't want a robot to drive off a ledge, for instance -- unless a human needs the robot to drive off the ledge. When those situations happen, you need to have smooth transfer of control from the robot to the appropriate human," Woods said.

Top 10 open-source Responsible AI toolkits


According to Accenture's 2022 Tech Vision research, only 35% of global consumers trust how organisations implement AI. And 77% think organisations must be held accountable for their misuse of AI. "Responsible AI practice is starting to go mainstream. In fact, Big Tech has large in-house teams and divisions under their Responsible AI practice," said Nikhil Kurhe, co-founder and CEO, of Finarkein Analytics. Responsible AI toolkits can make AI applications and systems fair, robust, and transparent. We have made a list of toolkits and resources to help implement Responsible AI.

This is why we need to talk about responsible AI


Yet, only a few companies are publicly discussing their ongoing work in this area in a substantive, transparent, and proactive way. Many other companies, however, seem to fear negative consequences (like reputational risk) of sharing their vulnerabilities. Some companies are also waiting for a "finished product," wanting to be able to point to tangible, positive outcomes before they are ready to reveal their work.

Top Responsible AI Predictions to Look Out for in 2022


The constant innovation and development with artificial intelligence (AI) have transformed the workforce of so many industries with new opportunities to boost productivity. Thus, organizations need to be responsible with AI with Responsible AI as a governance framework to document the challenges around artificial intelligence. Organizations should follow emerging trends of Responsible AI to achieve fairness and trust in the highly competitive market. Let's explore some of the top Responsible AI predictions to look out for in 2022. Accelerating governance is one of the top Responsible AI predictions for 2022.

How to use responsible AI to manage risk


We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. While AI-driven solutions are quickly becoming a mainstream technology across industries, it has also become clear that deployment requires careful management to prevent unintentional damage. As is the case with most tools, AI has the potential to expose individuals and enterprises to an array of risks, risks that could have otherwise been mitigated through diligent assessment of potential consequences early on in the process. This is where "responsible AI" comes in -- that is, a governance framework that documents how a specific organization should address the ethical and legal challenges surrounding AI. A key motivation for responsible AI endeavors is resolving uncertainty about who is accountable if something goes wrong.