AI has been a topic of concern in recent years, with many fearing that it could replace jobs, spread misinformation and even pose a threat to human existence. Despite these concerns, a 2023 KPMG report reveals that only two in five people believe current regulations are sufficient to ensure the safe use of AI. In light of these concerns, the role of ethical oversight in AI development is becoming increasingly important.
One of the people at the forefront of this effort is Paula Goldman, head of ethical and human use at Salesforce. His job is to ensure that the technology produced by the company benefits everyone. This involves working closely with engineers and product managers to identify potential risks and develop protective measures. This also involves working with the policy group to establish guidelines for acceptable use of AI and promoting product accessibility and inclusive design.
When asked about ethical and humane use, Goldman emphasizes the importance of aligning AI products with a set of values. For example, in the case of generative AI, precision is a primary principle. Salesforce continually strives to improve the relevance and accuracy of generated AI models by incorporating dynamic grounding, which incentivizes them to use correct, up-to-date information to avoid incorrect answers or “human hallucinations.” ‘AI’.
The conversation around AI Ethics has gained momentum, with tech leaders like Sam Altman, Elon Musk and Mark Zuckerberg participating in closed-door meetings to discuss AI regulation with lawmakers. Although there is growing awareness of the risks associated with AI, Goldman recognizes the need for more voices and widespread adoption of ethical considerations in policy discussions.
Salesforce and other companies, such as OpenAI, Google, and IBM, have voluntarily committed to AI security standards. Goldman highlights collaborative efforts within the industry, such as hosting workshops and participating in Ethical AI Advisory boards. However, it also recognizes the differences between corporate and consumer spaces, emphasizing the importance of setting standards and guidelines specific to each context.
Working in the field of AI is both exhilarating and challenging. Leaders in this field are collectively shaping the future by striving to develop reliable and responsible AI products. However, the rapid pace of progress means that continuous learning and adaptation are essential.
In conclusion, the ethical use of AI is a vital consideration for its successful integration into society. Through the efforts of people like Paula Goldman and collaborative initiatives, the development of responsible AI can pave the way to a better future.
FAQ section:
Q: What are some of the concerns about AI?
A: Concerns include the risk of job losses, the spread of false information and threats to human existence.
Q: Do people think current regulations are sufficient to ensure the safe use of AI?
A: According to a 2023 KPMG report, only two in five people believe current regulations are sufficient.
Q: Who is Paula Goldman and what is her role?
A: Paula Goldman is the Head of Ethical and Human Use at Salesforce. His role is to ensure that the technology produced by the company is beneficial and to work closely with engineers and product managers to identify potential risks and develop protective measures.
Q: How important is it to align AI products with a set of values?
A: Aligning AI products with a set of values helps ensure ethical and humane use. For example, precision is a primary principle for generative AI.
Q: Which companies have committed to AI security standards?
A: Salesforce, OpenAI, Google and IBM are among the companies that have voluntarily committed to AI security standards.
Key Terms/Jargon:
AI: Artificial intelligencerefers to the simulation of human intelligence in machines programmed to think and learn like humans.
Generative AI: AI models capable of generating new content, such as text, images or videos.
AI Ethics and Human Use Manager: A role responsible for overseeing the ethical and responsible use of AI within an organization.
AI Hallucinations: Refers to incorrect responses generated by AI models due to incorrect or outdated information.
Policy Group: A team within the company responsible for developing and implementing guidelines and policies related to the use of AI.
Ethical AI Advisory Boards: committees or councils composed of experts in the field of AI Ethics who advise businesses on the ethical use of AI.
Suggested related links:
1. KPMG
2. Selling power
3. OpenAI
4. Google
5. IBM
