AI Transformation: Societal Impact & Future Challenges | Môn Tạo hình 3D | Đại học Văn Lang

lOMoARcPSD| 60380256 AI IN THE FUTURE
Artificial intelligence (AI) is rapidly redefining the contours of modern society, and its influence i
s set to expand even further in the coming decades. At its core, the evolution of AI promises to
r evolutionize nearly every aspect of human endeavor, from healthcare and education to
finance and governance. However, as the technology advances, it simultaneously raises
profound ethic al questions, economic challenges, and concerns about societal control. The
discussion centers on balancing rapid innovation with a cautious approach to mitigate risks.
One of the foremost dimensions of this transformation lies in the realm of technological advanc
ements and scientific innovation. AI’s capabilities have
evolved dramatically, enabling machines to perform
(1)As Andrew Ng famously remarked,
tasks that once required human intelligence.
(2)Today, machine learning algorithms assist in diagnosing diseases, optimizing energy usag
“AI is the new electricity,” a phrase that encapsulates the transformative power of this technolo gy.
e, and even predicting natural disasters.
These innovations have led to breakthroughs (1)AI-driven data analysis has streamlined drug dis
that accel erate research in various fields. For example, covery processes, reducing the time
needed to develop new medications. Consequently, the fus ion of traditional scientific methods
with advanced computational techniques is not only enhan cing efficiency but also unlocking
possibilities that were once the domain of science fiction.
Ethical and societal considerations represent a critical sub-theme in the debate on AI. As these s ystems become more
(4)Fei-Fei Li has consistently emphasized that AI development must be "human-
integrated into daily life, issues of fairness, privacy, and bias have come t o the forefront.
centered," ensuring that ethical principles guide technological progress. This approach calls for
the incorporation of ethical frameworks that prioritize transparency and accountability. In prac
tical terms, this means that algorithms must be designed to avoid discriminatory practices and s
hould safeguard personal data. However, the deployment of AI in areas such as surveillance, hir
ing, and law enforcement has already exposed vulnerabilities in current systems. Critics warn th
at without proper oversight, AI could reinforce existing social inequities, creating a feedback loo
p where marginalized communities suffer disproportionately. Thus, the challenge is to develop
r obust ethical guidelines that not only foster innovation but also protect individual rights and pr omote social justice. lOMoARcPSD| 60380256
The economic impact of AI constitutes another crucial area of exploration. On one hand, the int
egration of AI into various industries is poised to drive significant productivity gains and
econom ic growth. Automation of routine tasks and the creation of entirely new markets have
the poten tial to boost national economies. On the other hand, the rapid adoption of AI also
brings concer ns about labor market displacement and widening income (3)Daron Ace disparities. Economist
moglu has cautioned that “if left unmanaged, AI could exacerbate economic disparities, as routi
ne tasks become automated and new skill requirements leave many workers behind.” This dua l-edged nature of AI requires
(5)implementing strategies to retrain workers and mitigate unemployment
policymakers to strike a delicate balance: encouraging technologic al adoption while . M
oreover, as companies increasingly rely on AI-driven processes, there is an urgent need for educ
ation systems to evolve and prepare future generations for a transformed job market. The econ
omic narrative of AI is thus one of both opportunity and disruption, necessitating forward-thinki
ng policies that support an inclusive transition.
In tandem with economic and ethical concerns, the domain of governance, regulation, and secu
rity is rapidly emerging as a vital field of inquiry. As AI systems penetrate critical infrastructure a
nd decision-making processes, ensuring their safe and secure operation becomes imperative. El
on Musk has repeatedly warned that “with great power comes great responsibility,” advocating
for the development of comprehensive regulatory frameworks to oversee AI innovation. Regula
tory bodies are now faced with the daunting task of balancing the need for rapid technological
progress against the imperative to protect public safety and civil liberties. This involves not only
crafting policies that govern data privacy and cybersecurity but also establishing international st
andards that facilitate cooperation across borders. As AI technologies evolve, the implementati
on of dynamic, adaptable regulatory measures will be essential to prevent misuse and to ensur
e that AI serves the collective interests of society.
Looking to the future, collaborative innovation and interdisciplinary
research stand out as prom ising avenues to harness AI’s full (2)Visionaries like Kai-Fu Le
potential while mitigating its risks.
e advocate for an approach that views AI as a tool to augment human capabilities rather than m
erely replace them. By fostering collaborations among computer scientists, ethicists, economist
s, and legal experts, society can create an environment where AI development is guided by dive
rse perspectives and comprehensive expertise. This interdisciplinary synergy is critical for addre
ssing complex challenges such as algorithmic bias and the societal impacts of automation. More
over, such collaboration can pave the way for novel solutions that integrate technological
efficie ncy with ethical integrity, ensuring that AI development proceeds in a manner that is
both inno vative and socially responsible. lOMoARcPSD| 60380256
In conclusion, the future of AI is characterized by a dynamic interplay between groundbreaking i
nnovation and formidable challenges. While AI promises to redefine numerous aspects of huma
n endeavor, its successful integration into society hinges on addressing ethical dilemmas, econo
mic disparities, and regulatory uncertainties. The insights of leading experts like Andrew Ng, Fe
i-Fei Li, Elon Musk, Kai-Fu Lee, and Daron Acemoglu underscore that the evolution of AI is not m
erely a technological shift but a comprehensive societal transformation. As we navigate this ne
w digital frontier, a balanced approach that encourages technological progress while safeguardi
ng human values will be paramount. Ultimately, the journey toward an AI-driven future will req
uire the collective efforts of researchers, policymakers, and communities worldwide, ensuring t
hat the benefits of AI are realized without compromising the ethical and social foundations upo n which society is built. Question 1-6.
Do the following statements agree with the views of the writer in the Reading Passage? Write YES
if the statement agrees with the claims of the writer NO
if the statement contradicts the claims of the writer NOT GIVEN
if it is impossible to say what the writer thinks about this
1. AI-driven data analysis has significantly streamlined drug discovery processes. YES
2. The adoption of machine learning techniques has accelerated scientific progress in diverse s
ectors such as healthcare and disaster forecasting. YES
3. All technological advancements in AI lead to uniformly positive outcomes without incurring any risks. NO
4. Some commentators argue that the ethical dilemmas associated with AI are confined exclus ively to privacy issues. NO
5. Global regulatory authorities have already established a comprehensive international frame
work for governing AI development. NG
6. The discussion on AI's applications in healthcare is more detailed than the technical
blueprin ts used for optimizing energy consumption. NG Questions 1-5
Look at the following people (Questions 20–24) and the list of statements (A–G) below. Match e
ach person with the correct statement. A. Andrew Ng lOMoARcPSD| 60380256 B. Fei-Fei Li C. Kai-Fu Lee D. Daron Acemoglu
1. AI’s impact on society can be as transformative as the advent of a crucial energy source that fuels every sector. Andrew Ng
2. AI is considered as a tool that complements human capabilities rather than rendering them obsolete. Kai-Fu Lee
3. Proactive policymaking can ensure that AI benefits workers rather than leaving them behind. Daron Acemoglu
4. Developing AI that prioritizes ethical design, with human well-being, is its core Fei-Fei Li 5.
Without appropriate regulations, automated systems may intensify economic disparities. Daron Acemoglu Questions 1 – 7
A. Introduction: The Expanding Influence of AI
B. The Dual Nature of AI in Economic Growth
C. The Rise of AI in Healthcare
D. The Need for International Cooperation in AI Governance
E. Leveraging Interdisciplinary Approaches for Future AI Development
F. Challenges of Integrating AI into Daily Life
G. Conclusion: The Road Ahead for AI
H. The Emergence of Ethical Standards in AI
I. AI’s Potential in Scientific and Technological Advancements 1. Paragraph 1 A 2. Paragraph 2 I 3. Paragraph 3 H 4. Paragraph 4 B 5. Paragraph 5 D 6. Paragraph 6 E 7. Paragraph 7 G