Very excited to be on the panel with @jamesmaguire discussing the challenges, issues and best practices in protecting and securing #AI services - very relevant topic for today's organizations.

Every analyst - Cantor Fitz, Baird, JPMorgan, JMP sec, Cannacord, BMO, Capital One, Jefferies, Bernstein and Evercore RAISED their Price target on $NOW Gap fill at $975

Thanks @JamesMaguire for having me in the panel for the very important topic on Gen AI regulations and data security - totally enjoyed it #eweekchat

A10. (2/2) Collaboration between industry, Govt. and other stakeholders is crucial for effective & adaptive AI regulation that addresses ethical, legal, and societal concerns. Expect ongoing developments in this dynamic landscape as technology continues to advance.#eweekchat

A10. (1/2). The future of AI regulation will likely involve a combination of industry self-regulation and government intervention. Companies will increasingly adopt ethical AI practices, but governments will play a key role in establishing legal frameworks. #eweekchat

I have faith in the security tools - lets leave it at that @AndiMann #eweekchat

A9. (2/2). While progress is being made, the effectiveness of regulation will depend on the willingness of nations to cooperate, establish common frameworks, and adapt regulations to the evolving AI landscape. #eweekchat

A9. (1/2). Achieving effective AI regulation at the national and international levels is challenging but crucial. International collaboration is needed to address the global nature of AI and ensure consistent standards. #eweekchat

A8. (2/2). Industry self-regulation can set ethical standards, but governments will play a crucial role in establishing legal frameworks, addressing societal concerns, and enforcing compliance. A collaborative approach between the 2 is needed for this #eweekchat

A8. Long answer (1/2) - The future of AI regulation is likely a combination of self-regulation within the industry and government intervention. #eweekchat

A7. Ensure vendors adhere to your ethical guidelines, transparency, and security standards. Clearly communicate regulatory expectations, conduct regular audits, and select vendors committed to responsible AI practices. #eweekchat

Good point @andimann - but what we are seeing is that sometimes the CTO does not want to go into the governance, compliance and security of AI - leaving that to the CISO or CAIO to do it #eweekchat

A6. Assign a Chief AI Officer (CAIO) or Chief Data Officer (CDO) or CISO - between them, they should oversee AI Data Security, regulation, ethics, and compliance. Sometimes hiring an executive with expertise in AI governance may be necessary. #eweekchat

Agree with this philosophy - @sai_buddha - if all else fails, there are tools like #skyhighsecurity to help :-) #eweekchat

A5. (2/2) Provide regular training to staff on recognizing and mitigating security threats associated with AI. Foster a security-conscious culture, including practices on AI Data Security and vigilant behavior to reduce the risk of breaches.#eweekchat

A5 (1/2). Educate staff on ethical AI principles, potential biases, and responsible use. Foster a culture of vigilance, transparency, and accountability. Continuous training ensures staff remains adept at regulating AI in line with evolving ethical standards.#eweekchat

A4. Enforce responsible use policies: Educate employees on ethical AI practices, prohibit malicious intent, and ensure compliance with guidelines. Foster a culture of responsible AI use and continuous training to mitigate risks.#eweekchat

A3. Implement robust cybersecurity measures: Regularly update AI systems, conduct vulnerability assessments, employ encryption, and establish secure access controls to mitigate potential security risks associated with AI deployment.#eweekchat

Data misuse and leakage from Generate AI services continues to be a huge problem in organizations - could not agree with you more. #eweekchat @AndiMann

A2. Unregulated generative AI can lead to misuse, ethical problems (bias, harmful content), legal issues, reputation damage, and security risks. Companies may face consequences for malicious use, legal violations, and harm to their image. #eweekchat

A1. Regulating generative AI is challenging due to rapid technological advancements, a lack of understanding among policymakers, ethical concerns (deepfakes, bias), the security concerns and the need to balance innovation with responsible use. #eweekchat