Society and AI
06/12/24 17:39
Society and AI: An Exploration of Expectations and Decision Making
Jan W Veldsink, 2024Listen to the (gen)podcast:
The emergence of artificial intelligence (AI) raises important questions about the role of this technology in our society. The sources highlight society's normative expectations of AI and the ways in which information is used to make decisions about AI.
Normative expectations
Society has high expectations of AI on the ethical, legal, cultural and professional levels.
Ethical: People want AI to be developed and deployed in an ethically responsible way, with respect for human rights and honesty. This means that ethical guidelines and standards are needed to ensure that AI systems do not discriminate and promote the well-being of people.
Legal: Clear legislation around AI is essential to ensure that AI development complies with existing laws and protects citizens' rights. This includes legislation in the field of data privacy, liability and transparency.
Cultural: Society is open to AI, but only if this technology improves the quality of life and respects cultural values. AI systems should not undermine our norms and values, but rather contribute to a better society.
Professional: Professionals in the AI sector must adhere to high ethical standards and prioritize the well-being of individuals and communities in their work. Establishing professional organizations that set standards for AI development and implementation can increase the credibility and reliability of AI technologies.
Decision-making
The company uses different types of information to make informed decisions about AI.
Descriptive information: Data on public opinion regarding AI technologies is crucial to understanding the concerns and aspirations of the community. Through surveys and studies, it can be determined to what extent society is ready for AI and which aspects require attention.
Predictive information: Predictive analyses are used to predict the potential impact of AI on different sectors. This enables policymakers and organizations to act proactively and address possible challenges and opportunities.
Prescribing information: Data-driven recommendations can help formulate effective strategies for responsible AI development and implementation. By sharing prescriptive insights between developers, policy makers and community leaders, AI initiatives can be better tailored to the needs of society.
Evaluating information: The evaluation of AI programs and initiatives is important to assess their impact on communities and to encourage continuous improvement. Evaluation frameworks help organizations to meass and account for the successes and social effects of AI initiatives.
Leading towards.
The sources show that society wants to play an active role in the development and implementation of AI. Expectations are high and there is a need for ethical guidelines, legal frameworks, cultural sensitivity and professional responsibility. Through a data-driven decision-making process, with attention to descriptive, predictive, prescriptive and evaluating information, one can strive for a responsible and socially desirable use of AI.