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Why Generative AI Still Can't Get It Right?

As an avid user of emerging technologies, you've probably seen artificial intelligence systems that can generate media. The market for AI is expanding rapidly. By 2025, it will have grown by an average yearly growth rate of 36.62 percent to reach 190.61 billion dollars. But despite significant progress, this technology still struggles in certain aspects. This becomes important to address since this is the very technology that will shape our digital experiences in the future.

Let’s have a closer look.

1. AI Can Draw Up Harmful Biases

As AI technologies become more advanced and autonomous, they risk amplifying unfair biases that exist in their training data. If a system is trained on data that contains prejudiced associations, it may make unfair generalizations when deployed. For example, a study found that AI for recruiting job candidates exhibited substantial bias against women.

To address this issue, data scientists must audit training datasets to identify and mitigate biases, which requires time, funding, and a commitment to inclusiveness. However, some biases are subtle and difficult to detect. AI models should be tested to determine whether they yield equitable outcomes across groups before being deployed in high-stakes domains.

In addition, the teams building AI systems must be diverse, including people of color, women, and other marginalized groups. Homogeneous teams are more prone to developing tools that disadvantage those outside their demographic. Inclusive, interdisciplinary teams can identify harmful biases that others may miss.

2. Difficulty In Grasping Context

Generative AI systems are trained on massive datasets to identify patterns and relationships, but they do not truly comprehend the meaning or context behind the data. They cannot grasp how subtle contextual differences can change the implications or significance of information.

For example, an AI system may generate a response based on keywords in a prompt but fail to understand the overall context or nuance, leading to a response that seems incongruous or out of place. Generative AI also struggles with open-domain contexts where there are more unconstrained variables. The AI cannot adapt its responses based on an understanding of social contexts that humans intuitively understand.

3. Common Sense Is Not So Common

Common sense reasoning developed over years of life experiences and interactions in the real world. Generative AI has no innate common sense - it must be trained on all possible scenarios to learn appropriate responses, but anticipating every scenario is impossible. If an AI system encounters an unforeseen situation, it will not have the common sense to reason through an appropriate response.

4. Reliance On Reactive Methods

Most moderation techniques are reactive, relying on rules, filters, and human feedback to remove inappropriate content after it has already been generated and potentially spread. It is difficult for these systems to proactively generate only appropriate, unbiased content without more advanced AI that understands social and cultural nuances at a human level.

5. Lack Of Accountability

There is currently nothing that exists to hold an AI system responsible for the decisions it takes or the material it creates. AI cannot be held accountable for its conduct or prosecuted. The developers that create these systems are also infrequently held responsible for the errors or wrongdoings of what they have created. Since there is no duty of care, AI may generate and circulate false content without fear of repercussions.

Final Thoughts

The ability of AI systems to create content that mimics that of humans has advanced significantly. More than 60% of business owners believe AI may increase productivity for this reason. The architecture of this technology still has several significant issues, though. Consequently, it occasionally leads to bad outcomes. It need not, however, remain that way. We can track AI's progress and have an impact on its future growth rather than dismissing it.

For more information, please check out Clickacademy Asia’s marketing report linked ahead


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