The concept of 'Transparency' in AI ethics refers to(1 Point)Making AI systems physically see-through.The ability to understand how AI makes decisions.Ignoring the need for privacy.Sharing all AI technologies freely.

In AI, what is transparency?  1 pointAn AI system’s ability to effectively handle exceptional conditions, like abnormal input or adversarial attacks An AI system’s ability to treat individuals or groups equitably  An AI system’s ability to show how and why it arrived at a particular outcome or recommendation  When appropriate information is shared with humans about how an AI system was designed and developed

What is AI ethics?  1 pointHow and why an AI system arrived at a particular outcome or recommendation  How to build and use AI in ways that align with human ethics and expectations A multidisciplinary field that investigates how to maximize AI’s beneficial impacts while reducing risks and adverse impacts  An organization’s act of governing AI through its corporate instructions, staff, processes, and systems

How can we ensure AI respects our privacy?

Application to an Industry Use Case: Autonomous VehiclesIn the context of autonomous vehicles, the proposed AI ethical framework plays a crucial role in guiding their development and deployment, addressing various ethical considerations inherent in their operation.a. Transparency:In the autonomous vehicle industry, transparency entails providing insights into the decision-making processes of AI algorithms governing vehicle operations. For example, manufacturers can disclose how algorithms prioritize different factors such as safety, efficiency, and pedestrian welfare in driving decisions.b. Accountability:Establishing accountability mechanisms ensures that manufacturers and operators of autonomous vehicles are held responsible for any accidents or malfunctions. This includes clear delineation of liability frameworks and protocols for investigating incidents involving autonomous vehicles.c. Fairness:Fairness in autonomous vehicles entails designing algorithms that prioritize equitable outcomes for all road users, regardless of factors such as race, gender, or socioeconomic status. For instance, AI systems should avoid scenarios where certain demographics are disproportionately affected by vehicle accidents or traffic violations.

Organizations are developing their own AI principles that reflect their mission and values. What are the common themes among these principles?A consistent set of ideas about transparency, fairness, accountability, and privacy.A consistent set of ideas about transparency, fairness, and equity.A consistent set of ideas about fairness, accountability, and inclusion.A consistent set of ideas about transparency, fairness, and diversity.