AI Concerns

CTE - AI AI Concerns

As artificial intelligence continues to evolve, concerns about AI hallucinations—exaggerated perceptions of its capabilities—and biases within AI systems persist as key worries. Simultaneously, the prevalence of biases in AI systems, stemming from historical data, poses risks of perpetuating unfair outcomes. Addressing these concerns demands a concerted focus on ethical development, transparency, and the mitigation of biases to ensure AI's responsible and equitable utilization in society, avoiding the reinforcement of existing inequalities and striving for fair, beneficial outcomes for all.

Examples of things to be cautious of

Halucinations

In the realm of artificial intelligence, there are still many things to be aware and cautious of. Using a term borrowed from human psychology, AI hallucinations occur when an AI model generates false or illogical information that isn't based on real data or events, but is presented as fact. Because the grammar and structure of these AI-generated sentences are so eloquent, they appear accurate. Hallucination in the forest

 

Bias

type writer that wrote: AI ETHICS

Moreover, the prevalence of bias within AI systems remains a critical concern. These systems learn from historical data that inherently contains biases, leading to unfair or prejudiced outcomes in decision-making processes across industries and societal domains. Addressing these biases is crucial to prevent AI from perpetuating or exacerbating existing inequalities and to ensure fair and equitable outcomes for all individuals.

 

Diversity, Equity and inclusion

“AI will not solve poverty, because the conditions that lead to societies that pursue profit over people are not technical. AI will not solve discrimination, because the cultural patterns that say one group of people is better than another because of their gender, their skin color, the way they speak, their height, or their wealth are not technical. AI will not solve climate change, because the political and economic choices that exploit the earth’s resources are not technical matters. As tempting as it may be, we cannot use AI to sidestep the hard work of organizing society so that where you are born, the resources of your community, and the labels placed upon you are not the primary determinants of your destiny. We cannot use AI to sidestep conversations about patriarchy, white supremacy, ableism, or who holds power and who doesn’t. As Dr. Rumman Chowdhury reminds us in her work on AI accountability, the moral outsourcing of hard decisions to machines does not solve the underlying social dilemmas.”
― Joy Buolamwini, Unmasking AI: My Mission to Protect What Is Human in a World of Machines Links to an external site.		 Person asking: Who loves AI? - All hands raised Then Person asking: Who is willing to deal with the ethical guidelines of AI? - No hands raised Then person asking: Who is willing to take responsibility for the decisions of the algorithms? - No one left in the room.