As the capabilities of Artificial Intelligence systems increase everyday, government officials are under more pressure than ever to develop a comprehensive and robust set of policies and laws that holds these algorithms accountable for their decisions. The question on whether these algorithms should be held accountable has gained attention over the past few years through scandals such as Google's mislabeling of images and Microsoft Tay's racist tweets. In determining whether an algorithm should be held accountable or not, it is important to break the topic down into key questions. The first is what task is the algorithm completing? What are the implications to individuals/society resulting from the algorithm's decision.

Explainability techniques are currently developed and incorporated by machine learning engineers, and not surprisingly, their needs (and companies' desire to avoid legal trouble) are being prioritized.Realizing a broader set of XAI objectives will require both greater awareness of their existence and a shift in incentives for accomplishing them. XAI standards and policy guidelines should explicitly include the needs of users, stakeholders, and impacted communities to incentivize this shift. Explainability case studies are one pedagogical tool that can help practitioners and educators understand and develop more holistic explainability strategies. Diverse organizational guidance documents, recommendations, and high-level frameworks can also help guide an organizations' executives and/or developers through key questions to support explainability that is useful and relevant to different stakeholders. While there has been some work done to evaluate AI explanations, most attempts are either computationally expensive or only focus on a small subset of what constitutes a "good explanation" and fail to capture other dimensions.

Imagine being thrown into a morning panic by the sound of a blaring alarm, screaming at you to take immediate shelter. Your Smart TV displays the words "AERIAL DRONE RAID" in all red, and as you attempt to rationalize what is going on, you inch towards the window in sheer disbelief as you discover a decimated cityscape. Rogue armies of drone wasps run amok in search of deviants to poison and kill, unmanned tanks obliterate anything moving on the streets and sophisticated digital twin satellites successfully cripple our electric power grid system with advanced EMP attacks. Cyber criminals have already taken advantage of the situation, broadcasting "deep fake" news of a deadly virus to cause panic and hysteria among the masses. Biohackers take it a step further, threatening to unleash an AI-manufactured strain of the flu unless the government provides them with a sizable paycheck.

Imagine being thrown into a morning panic by the sound of a blaring alarm, screaming at you to take immediate shelter. Your Smart TV displays the words "AERIAL DRONE RAID" in all red, and as you attempt to rationalize what is going on, you inch towards the window in sheer disbelief as you discover a decimated cityscape. Rogue armies of drone wasps run amok in search of deviants to poison and kill, unmanned tanks obliterate anything moving on the streets and sophisticated digital twin satellites successfully cripple our electric power grid system with advanced EMT attacks. Cyber criminals have already taken advantage of the situation, broadcasting "deep fake" news of a deadly virus to cause panic and hysteria among the masses. Biohackers take it a step further, threatening to unleash an AI-manufactured strain of the flu unless the government provides them with a sizable paycheck.