Gen AI Prob Flashcards
(4 cards)
How has AI transformed the workplace?
From automating routine tasks to enhancing creative processes, these systems use vast amounts of data to create new content, make predictions, and
even make decisions.
What are the risks with Gen AI in the workplace?
The reliance on AI can
lead to job displacement as roles traditionally failed
by humans become automated. Furthermore, the quality of AI-generated outputs
can be inconsistent. While AI excels in generating
structured content, it struggles with
tasks requiring deep understanding or
emotional intelligence, often producing outputs that are awkward or contextually
inappropriate. Earlier, you learned that
businesses need to adopt ethical considerations
given the potential for bias in
AI-generated content. When using generative AI systems to interact with personal data, care must be taken to ensure confidentiality
and user privacy.
AI systems are notorious
for their black box nature, meaning the processes
they use to reach conclusions are
not always clear. This lack of transparency can lead to reliability
issues where businesses find
it challenging to understand or predict
the AI’s behavior.
Accountability is
another challenge. When errors occur,
it’s difficult to determine responsibility
between the AI developers, the users, and the AI itself. This complicates legal and
regulatory frameworks, which are often ill
equipped to handle the novel implications
of AI technology. Despite their advanced
capabilities, generative AI systems often
lack common sense reasoning, a basic human ability to make practical judgments about
everyday situations.
These include the
technical challenge of integrating AI with
existing IT systems, the need for
significant investment in technology and training, and the ongoing requirement
to update and maintain AI systems to adapt to new
data or changing conditions. Additionally, if
an organization is resistant to change and its
staff are doubtful about AI, this can also make it harder
to implement effectively. To reduce potential harm and ensure ethical AI deployment, it is crucial to adhere
to guidelines like those set by major technology
companies, including Microsoft. These guidelines emphasize
fairness, reliability, privacy, inclusiveness,
accountability, and transparency. Organizations must commit
to rigorous testing and auditing of AI systems to
identify and correct biases, protect data privacy, and
ensure that AI systems perform as intended without
infringing on ethical norms.
Give examples of how AI Gen transforms the workplace?
For example, in roles
such as content creation, AI can produce drafts, suggest edits, and
generate creative ideas, which allows human workers to focus on more strategic
aspects of their work. Similarly, in
software development, AI can write code, debug, and even test software, streamlining the
development process and reducing time to market.
What are the benefits to Gen AI?
These capabilities not
only optimize efficiency, but also offer
significant cost savings and scalability for
growing businesses.
