P3 - Ethical Challenges Flashcards
(15 cards)
What does ethical design in AI and chatbots aim to ensure?
Ethical design ensures that AI systems, including chatbots, are fair, trustworthy, and aligned with societal values, especially in sensitive areas like customer service, hiring, and healthcare.
What are the key ethical challenges in deploying chatbots?
Key challenges include privacy, prompt hacking, bias, misinformation, and accountability.
What privacy issues are associated with chatbots?
Chatbots often collect and store user data, raising concerns about transparency, data security, and user consent.
What is prompt hacking, and why is it a concern?
Prompt hacking involves manipulating a chatbot’s input prompts to make it produce unintended or harmful outputs, posing risks to system integrity.
How does bias appear in chatbots?
Bias can arise when chatbots are trained on datasets that overrepresent certain groups or stereotypes, leading to discriminatory or stereotypical responses.
What risks does misinformation pose in chatbot applications?
Chatbots that spread false or misleading information can erode trust, misinform users, and cause real-world harm.
Who is typically held accountable for a chatbot’s mistakes or harm?
Accountability is complex and may involve developers, businesses, or both, depending on the system’s design, deployment, and oversight.
Why should a chatbot that gives ethically problematic responses not be profitable?
Because if a chatbot produces unethical or problematic responses, users will choose to take their business elsewhere. In cases where interaction is forced, it results in a poor user experience that can harm the company’s profitability.
What are the reputational and employee impacts of using chatbots deceptively?
Organizations that hide the fact they are using chatbots are seen as less ethical by customers, and employees working under deceptive practices tend to have higher turnover intentions and face poorer job prospects.
What are “hallucinations” in AI chatbots, and what examples illustrate this phenomenon?
Hallucinations are errors or misinformation generated by chatbots. Examples include a chatbot incorrectly stating that the James Webb Space Telescope captured the first images of an exoplanet, unusual claims made by Bing, and a Gemini AI chatbot telling a user to “please die.”
What is prompt hacking, and what are its three main types?
Prompt hacking involves crafting inputs to manipulate an AI model’s responses. Its three types are:
- Prompt jailbreak: Bypasses the AI’s restrictions to produce forbidden content.
- Prompt injection: Alters or overrides the original instructions to yield undesired outputs.
- Prompt leaking: Forces the AI to reveal hidden internal instructions or prompts.
How can prompt hacking pose risks to privacy?
By bypassing safeguards, prompt hacking can allow unauthorized access to sensitive or personal data, potentially exposing confidential information and compromising user privacy.
What does accountability mean in the context of ethical chatbot design?
Accountability involves ensuring that there is oversight for the chatbot’s actions—this includes clear responsibility, allowing for scrutiny of its decisions, and having mechanisms in place to limit its power, so that any negative impacts can be addressed by the proper authority.
Why is transparency important in chatbot interactions?
Transparency—such as clearly informing users they are interacting with a chatbot—builds trust and ensures that users know what to expect. It also prevents deceptive practices by ensuring that all parties understand the nature of the interaction.
What role should government regulation play in ensuring ethically sound chatbot use?
Government regulation should set and enforce standards for chatbot behavior to protect users. Since not all users have the expertise to judge ethical behavior, regulation ensures that chatbots follow widely accepted ethical principles, thereby safeguarding public trust and well‐being.
