Some ethical concerns around DS systems are:A. Racial, Gender, Age, or other biasB. Gaining the ability to easily automate varied, unpredictable tasks,C. Loss of jobs due to AI replacing people performing repetitive tasksD. Loss of jobs due to AI replacing people performing highly creative tasksE. Problems of the trustworthiness of the decisions made by AIF. Privacy issues such as human faces being photographed in publicQuestion 1AnswerOnly A, C, E, and F are correctOnly D, E, and F are correctAll options are correctOnly A, B, D, and F are correctOnly A and F are correctOnly B and F are correctOnly A, D, and F are correctOnly B, E, and F are correctOnly A, B, and C are correctOnly A and C are correctNone of the options are correct

AI Ethics and Societal Impact. What ethical issue does bias in AI algorithms raise?(1 Point)Decreased efficiency in operationsInequality and unfair treatmentLower energy consumptionIncreased internet speed

Which of the following is a principle of ethics that one should aim to follow when developing an AI?Group of answer choicesAI should not allow users to ask for other people’s private information.AI should not be made available to those who are known to participate in criminal activities.AI should ignore bias against gender and race during hiring processes.AI should not involve or result in unfair discrimination against individuals or groups.

What are some of the key ethical challenges associated with the integration of AI and robotics in healthcare?

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.

Share your views on "The ethics of Artificial Intelligence (AI) and the need for responsible development" in minimum 200 words.